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Data Scientist

$89K-$153K (Glassdoor est.)

The Data Scientist will be joining a team of extremely passionate data scientists, product managers, and engineerswho share a common interest in tackling some of the most difficult data science and machine learning problems today. With the data products and machine learning systems you design, 7Park will arm influential decision-makers at financial and corporate giants with critical information they need to make smart, data-driven decisions. Along the way, you will help advance the current work in artificial intelligence and predictive modeling. Our technologies and data power the insights for financial services and corporations. The compensation package includes a competitive salary and incentive structure, generous benefits, and valuable business experiences, challenges, and excitement of contributing to the success of a fast-growing technology startup company. The data science team has two major goals: to design and build data products that provide intelligence on real-time economic activity to our financial and corporate clients and to both research and develop machine learning systems to extract information from large volumes of structured and unstructured text. This position reports to the Chief Product Officer. Responsibilities: Conducting research on some of the world’s most interesting alternative datasets Planning, developing, and applying cutting-edge machine learning systems and statistical modeling to extract insight from vast amounts of data at scale Writing production-ready code to analyze, structure, and make accurate and timely predictions Designing systems to monitor the results of models in productions, discover and address anomalies, and ensure the robustness and reliability of these models Leading projects from start to finish, collaborating with 7Park’s senior management, product managers, engineers, external data partners, and clients Requirements: Bachelor’s degree or higher in computer science, mathematics, statistics, linguistics, physics, computational finance, or similar quantitative field 3 – 5 years of relevant professional experience in data science Strong knowledge of machine learning, computer science, mathematics, and statistics Strong programming skills in Python, R, and/or Scala Experience with NumPy, SciPy, Pandas, Scikit-Learn, TensorFlow, and Keras. PyTorch is also acceptable Experience with building distributed machine learning systems using Apache Spark and a working knowledge of MLlib Experience with several of the following concepts: decision trees, random forests, and gradient boosting; linear regression; logistic regression; linear and non-linear dimensionality reduction using PCA, kernel methods, and dictionary learning; clustering with K-means, hierarchical clustering, and DBSCAN; autoencoders; generative models; and sequential data modeling Results driven attitude with a strong desire to build data platforms that enable 7Park Data’s insights across a massive and diverse set of data Fearlessness in the pursuit of process improvement, implementation, and change Flexibility and willingness to adapt to the changing demands of a fast-paced, startup environment Solutions oriented approach and multi-dimensional problem solving Highly self-motivated and results oriented, proven track record of exceeding goals Commitment to success and willingness to put forth the effort to achieve it Strong written and verbal English communication skills

7Park Data 3.8

New York, NY

New York, NY

51 to 200 employees

Company - Private

Research & Development

Business Services

Unknown / Non-Applicable

-1

7Park Data

NY

Data Scientist

$61K-$110K (Glassdoor est.)

About Us Founded in Syracuse in 1992, we are a critical response center focused on saving lives and protecting homes and businesses. Whether its a fire at a family home, an armed intruder at a business, a missing vehicle, an evening jogger, or a lone family member having a medical emergency, our heroes are there to help every day. Supported by teams of experts in their respective fields, our 600+ highly trained specialists are the 24/7 backbone for thousands of alarm companies across the country. Role Summary Rapid Response is seeking a discerning and critical thinking Data Scientist to spearhead our Business Intelligence function. In this role, you will collaborate across the organization, using your experience in data science and business intelligence to analyze existing data to build dashboards, reports, and presentations and enable data-driven decision making across the organization. Responsibilities Collect and consult on the best ways to warehouse the myriad datasets across the organization using SQL and other databases Translate business requirements to technical requirements Champion and lead the development of cross-organizational dashboards Educate executives and leadership on model outputs to improve their understanding of data science and apply the results to business decisions Lead multiple projects and serve as project manager to identify issues, priorities, and goals Navigate ambiguity; identify and tackle strategic opportunities and problems we have not fully defined through data Apply a range of data science techniques and tools to solve difficult business problems Basic Qualifications 3+ years of work experience applying varied data science methodologies 3+ years of work experience with data mining and advanced analytics and/or statistics 2+ years of project experience using Python and/or R Masters Degree in Data Science, Math, or Analytics Expert level SQL Structured Query Language Proficiency with Microsoft SQL Server Research, in-depth analysis and reporting skills Preferred Qualifications 3+ years work experience managing data analytics projects Ability to distill large datasets into understandable information Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications Experience using leading business intelligence tools Rapid Response Monitoring Services, Inc. is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Rapid Response Monitoring Services, Inc. is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, contact us by phone: 833.205.8900 or by email: disabilityaccommodations@rrms.com. For technical support or questions regarding the Recruiting process, please contact by sending an e-mail jobs@rrms.com. We are a company that participates in e-verify. For more information, see https://www.e-verify.gov/about-e-verify/what-is-e-verify INDCAMP2

Rapid Response Monitoring 4.7

Syracuse, NY

Syracuse, NY

501 to 1000 employees

Company - Private

Security Services

Business Services

Unknown / Non-Applicable

COPS Monitoring, National Monitoring Center, Affiliated Monitoring

Rapid Response Monitoring

NY

Data Scientist, Rice University

$65K-$110K (Glassdoor est.)

Trilogy Education partners with universities to offer programs in Web Development, Data Analytics, UX/UI Design, Cybersecurity, and FinTech. Our platform combines a market-driven curriculum, robust career services, and a multinational community of universities, instructors, and employers to prepare adult learners for careers in the digital economy. Our programs have been in existence since 2015, and since then, we've launched an additional 300 classes across the nation. We have hired more than 1,900 Instructors and Teaching Assistants to support our students. The Job: We are looking for an experienced Financial Engineer, Python or Machine Learning Engineer with Finance experience, or similar background to teach our part time FinTech class at Rice University. Our instructors are an essential piece to our students experience with us. You must bring a positive attitude and be able to infuse empathy, support, encouragement and fun into the classroom. As an instructor you will need to have the ability to deliver our lesson plans that are being taught across the country; while at the same time, sharing your own professional experiences and industry insight with the students. Our Financial Technology Program: There is a parallel economy forming that is upending the financial system. From giant international firms to tiny startups, financial technology is starting to allow a whole new set of players to access financial data, and enabling a whole new generation of financial products and services. Why teach with us? Are you passionate about education and making an impact? Do you love empowering others to find life-changing opportunities. We'd love to hear from you! If you bring knowledge, strong communication, and a positive energy to the classroom, you're going to help our students along their transformative path to a successful and rewarding career. Prior teaching experience isn't a prerequisite for success as an Instructor or Teaching Assistant within Trilogy. We'll provide the guidance, training, lesson plans, and tools to support you on your journey of impacting lives in the classroom. What You Will Do: Lead lectures and share your own personal experiences as an industry professional Facilitate a hands on lab environment for students to gain real world knowledge Coach students through coding activities and in-class projects Distribute Class Materials and Recorded Lectures to set up students for success Ensure a positive learning environment for students by infusing empathy and support into all that you do Be a classroom manager and confirm students are engaged and learning at every turn Make sure students are receiving timely feedback and grades on their assignments from you and your teaching assistants. Experience, or willingness to learn, the following Technologies is required: Python 3 and Python Libraries such as Pandas, Matplotlib, NumPy, and more SQL and NoSQL Databases Deploying Machine Learning Models, Including using SKlearn, Tensorflow, or Statsmodels What makes you a great fit (Requirements): Bachelor's Degree Minimum of 4-5 years of work experience A positive attitude Ability to deliver our lesson plans that are taught in classrooms across the country to the student body Openness to share your own professional experiences and industry insight with the students Ability to support our students individually as they go through an emotional roller coaster Be able to infuse empathy, support, encouragement, and fun into the student experience Logistics: 24-week program Mon/Wed/Sat OR Tue/Thu/Sat Schedule Weekday Classes: 5:45pm - 10pm (includes office hours and break) Saturday Classes: 9:30am - 2:30pm (includes office hours and lunch break)

Trilogy Ed 4.3

Houston, TX

New York, NY

1001 to 5000 employees

Subsidiary or Business Segment

Education Training Services

Education

Unknown / Non-Applicable

General Assembly, Kaplan University, Ironhack

Trilogy Ed

TX

Senior Data Scientist

$200K-$275K(Employer est.)

Who we want: Are you committed to using your talents in research and advanced analytics to give global organizations critical advice? Are you a leader who applies your instincts and expertise to discover breakthroughs that are key to clients’ growth? Are you a driven professional who can manage multiple projects, set a standard of excellence and follow through on commitments for exceptional results? Do you instinctively connect with others, understand individuals’ needs and share your passion for analytics to achieve shared goals? Do you excel at building predictive models using various data sources and techniques to inform practical business decisions? What you will do: As a Gallup senior data scientist, you will help clients effectively use data to make better decisions. You will apply your knowledge of various statistical and machine-learning techniques to lead a wide variety of challenging projects — from designing custom client builds to automating solutions to the complicated problems clients face every day. You will partner with client teams to increase Gallup’s global impact by helping explain and predict large-scale social behavior (e.g., consumer spending, lifestyle trends, political stability, election outcomes, and employee performance and retention) using data from Gallup, the web, third parties (e.g., governments, IGOs and NGOs) and clients. You will mentor and develop other data scientists, helping them grow their technical and consulting skill sets. In short, you will be a senior leader who will help continue the development of data science at Gallup. Gallup’s unique data give you an unparalleled opportunity to use your creativity to explore new avenues of social research. George Gallup’s legacy — founded in 1936 — established Gallup’s gold standard in survey research methodology. What you need: Ph.D. required. A degree from a statistics, engineering, mathematics, computer science, computational social science, physics or operations research program preferred. Previous or current Top-Secret U.S. government clearance required At least 16 years of work experience (which can include years spent earning advanced degrees) Expert-level production coding in Python preferred Mastery in conducting analysis in Python and/or R required; additional analytic software experience a plus At least four years of experience building production-level machine learning and predictive analytics systems with data pipelines required A deep understanding of the mathematical fundamentals of machine learning and statistics, with an emphasis on nonparametric, nonlinear methods (e.g., random forests, support vector machines, neural networks) and natural language processing required At least one year of experience working within distributed systems and managing workflows in a cloud infrastructure required Must be currently authorized to work in the United States on a full-time basis Gallup is an equal opportunity/affirmative action employer that celebrates, supports and promotes diversity and inclusion. We will consider all qualified applicants without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation or gender identity, or any other legally protected basis, in accordance with applicable law.

Gallup 4.2

Washington, DC

Washington, DC

1001 to 5000 employees

Company - Private

Consulting

Business Services

Unknown / Non-Applicable

Advisory Board, Booz Allen Hamilton, McKinsey & Company

Gallup

DC

Data Engineer

$68K-$123K (Glassdoor est.)

Company Description CapTech is a team of master builders, creators, and problem solvers who help clients grow efficient, successful businesses. We unite diverse skills and perspectives to transform how data, systems, and ingenuity enable each client to advance what’s possible in a changing world. As perceptive partners, our U.S-based consultants find inspiration in the unknown and enjoy getting our hands dirty solving our clients’ myriad of challenges. Across industries and business goals, we fuse technical depth and analytical prowess with creative savvy to move clients forward. This drive helps each organization use technology, management, and insight to turn ideas into action. Together, we create outcomes that exceed the expected — which is one of the reasons we’ve been on the Inc. 500/5000 list for over a decade. Job Description The Data Engineer, Analytics role falls into the Data Management & Business Intelligence practice area at CapTech, through which our consultants provide a broad spectrum of services to help our clients define and implement a strategy to deliver lasting and mission-critical information capabilities. Our Data Integration consultants bridge the gap between the business and IT side of companies. By partnering with clients to fully understand both their business philosophy and IT strategy, CapTech consultants maintain the vision that data integration should be built to help the organization make better decisions by providing the right data at the right time. Specific responsibilities for the Data Engineer, Analytics position include: Design, develop, document, and test advanced data systems that bring together data from disparate sources, making it available to data scientists, analysts, and other users using scripting and/or programming languages (Python, Java, C, etc) Evaluate structured and unstructured datasets utilizing statistics, data mining, and predictive analytics to gain additional business insights Design, develop, and implement data processing pipelines at scale Present programming documentation and design to team members and convey complex information in a clear and concise manner. Extract data from multiple sources, integrate disparate data into a common data model, and integrate data into a target database, application, or file using efficient programming processes. Write and refine code to ensure performance and reliability of data extraction and processing. Communicate with all levels of stakeholders as appropriate, including executives, data modelers, application developers, business users, and customers Participate in requirements gathering sessions with business and technical staff to distill technical requirements from business requests. Partner with clients to fully understand business philosophy and IT Strategy; recommend process improvements to increase efficiency and reliability in ETL development. Collaborate with Quality Assurance resources to debug code and ensure the timely delivery of products. Some of our technologies might include: HDFS, Cassandra, Spark, Java, Scala, Informatica, SQL Server, Oracle, Ab Initio, Kafka. Qualifications Specific qualifications for the Data Engineer, Analytics position include: 4+ years of development experience building ETL graphs using the Ab Initio GDE, EME and Co-Operating system preferred Strong SQL development skills Development experience with python preferred Development experience with Unix tools and shell scripts Development experience with at least two different database platforms (Teradata, Oracle, MySQL, MS SQL, etc.) Minimum of 3 years experience designing, developing, and testing software aligned with defined requirements Experience tuning SQL queries to ensure performance and reliability Software engineering best-practices, including version control (Git, TFS, JIRA, etc.) and test driven development Exposure to Business Intelligence tools such as Business Objects, Informatica, SSRS, Cognos, MicroStrategy, Tableau, QlikView, SpotFire, etc. Additional Information We offer challenging and impactful jobs with professional career paths. All CapTechers can keep their hands on technology no matter what position they hold. Our employees find their work exciting and rewarding in a culture filled with opportunities to have fun along the way. At CapTech we offer a competitive and comprehensive benefits package including, but not limited to: Competitive salary with performance based bonus opportunities Single and Family Health Insurance plans, including Dental coverage Short-Term and Long-Term disability Matching 401(k) Competitive Paid Time Off Training and Certification opportunities eligible for expense reimbursement Team building and social activities Mentor program to help you develop your career At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship. Candidates must be eligible to work in the U.S. for any employer directly (we are not open to contract or “corp to corp” agreements). CapTech is an equal opportunity employer. CapTech is a Drug-Free work place. Candidates must have the ability to work at CapTech’s client locations. All positions include the possibility of travel. CapTech has not contracted/does not contract with any outside vendors in its recruitment process. If you are interested in this position, please apply to CapTech directly.

CapTech 3.9

Charlotte, NC

Richmond, VA

1001 to 5000 employees

Company - Private

IT Services

Information Technology

$100 to $500 million (USD)

Accenture, North Highland, Deloitte

CapTech

NC

Senior Data Scientist

$80K-$129K (Glassdoor est.)

We are AAM. We have the POWER to move the world. At AAM, we're looking for associates who push boundaries and drive solutions for the future. Innovators. Thinkers. Dreamers. Doers. No matter the role or function, every associate is a piece of what makes AAM great. Were growing and building #TeamAAM to be the best. Join us! Job Posting Title Senior Data Scientist Job Description Summary We are looking for a Senior Data Scientist that will help us discover the information hidden in vast amounts of data and help us support our business. Your primary focus will be in applying data mining/statistical techniques, creating patterns and predictions. Ensuring validity of data using statistical languages to develop and launch descriptive, Predictive and prescriptive analysis. Work closely with the business to understand business needs. Job Description Perform Operational Support. Work on Major Projects and Responsible for Deliverables. Data mining using state-of-the-art methods Strong skill in critical thinking Expert in AWS service and components (S3, EMR, EC2, Lambda, Kafka, green grass) Processing, cleansing, and verifying the integrity of data used for analysis Doing ad-hoc analysis and presenting results in a clear manner Experience in IoT solutions Enhancing data collection procedures to include information that is relevant for building analytic systems Master of Python, R, and SQL languages Extensive experience writing algorithms, statistical models, and predictions. Model creation using Python Data visualization using MS Power BI, R Shiny Expert in classification, regression, clustering, anomaly detection, decision tree, Naïve Bayes, Support Vector Machines Work with business users to conduct user acceptance testing. All other duties as assigned. Required Skills and Education Bachelors Degree (Computer Science, Statistics, and Mathematics) 5 years relevant experience Python, R Programming, R Shiny Expert in creating/modifying statistical data models Expert in Data Science - Experience creating Statistical Algorithms like Random Forest, Logistic regression, Naïve Bayes, SVM etc. Big data ecosystem. (Impala, Spark, Hive, SQOOP etc) Expert in Microsoft Power BI Dashboards and reports Expert in creating statistical models to do real time machine learning. SQL expert Good understanding of ETL systems Expert in Data Science - Experience creating Statistical Algorithms like Random Forest, Logistic regression, Naïve Bayes, SVM etc. Big data ecosystem. (Impala, Spark, Hive, SQOOP etc) Expert in Microsoft Power BI Dashboards and reports Expert in creating statistical models to do real time machine learning. SQL expert About American Axle & Manufacturing For over 20 years, customers around the world have entrusted AAM to design, engineer, validate and manufacture driveline, metal forming, powertrain, and casting technologies for automotive, commercial and industrial markets. Today, we are a premier global Tier 1 automotive supplier with broad capabilities across multiple product lines to deliver efficient, powerful and innovative solutions for our customers. Weve earned the trust of our suppliers and our customers through our steadfast commitments to quality, operational excellence and technology leadership. AAM delivers power. We deliver power literally through vehicle components, systems and innovation, but we also deliver power in ways unseen. We power our associates, their families, and the communities in which we operate. Our global team of over 25,000 associates has a clear vision of where AAM is going and how we are going to get there. After all, they are the reason we are a leader in the automotive industry. We are powering the future. We are AAM. Move with us, and join #TeamAAM. AAM will not discriminate against any Associate or applicant for employment because of age, race, color, gender, religion, weight, height, marital status, sexual orientation, genetic history or information, gender identity or expression, disability, protected veteran status, national origin, or other characteristic protected by law. AAM will take affirmative action to ensure that applicants are employed, and that Associates are treated equally during employment, without regard to their age, race, color, gender, religion, weight, height, marital status, sexual orientation, genetic history or information, gender identity or expression, disability, protected veteran status, national origin, or other characteristic protected by law. For the Disabled Job Seeker: We offer reasonable accommodations for qualified disabled individuals who are applicants for employment. To request assistance or accommodations, please e-mail aamhr@aam.com . AAM is an equal opportunity/affirmative action employer.

American Axle & Manufacturing 3.3

Southfield, MI

Detroit, MI

10000+ employees

Company - Public

Transportation Equipment Manufacturing

Manufacturing

$5 to $10 billion (USD)

-1

American Axle & Manufacturing

MI

Financial Data Analyst

$41K-$72K (Glassdoor est.)

CentralReach is a leading provider of end-to-end practice management and clinical solutions that enable applied behavior analysis (ABA) clinicians and educators to produce superior outcomes for people with autism. The company is revolutionizing the ABA space with cutting-edge solutions including precision teaching, clinical data collection, scheduling, billing, learning management, fully digital evidence-based programming and more. Trusted by more than 80,000 clinicians and educators, CentralReach is committed to ongoing product improvement, market-leading industry expertise, world-class client satisfaction, and support of the ABA community to propel industry practitioners into a new era of excellence. We are looking for a Financial Analyst to join our finance team reporting directly to the FP&A Manager! The ideal candidate will be a self-starter with a desire to complete recurring and ad-hoc tasks with minimal supervision. The Financial Analyst is a key financial position supporting our fast-growing SaaS business, including an associated revenue cycle management business. Initial responsibilities will focus on providing detailed financial and operational reporting and enhancing/create key performance indicators (“KPI”). This position will report to the FP&A Manager and work closely with other members of our Finance and Business Operations teams, as well as cross-functional areas of the business such as Engineering, Product Management, Sales, Client Operations & Marketing. What You'll Do: Assist in developing and tracking SaaS and other relevant business metrics that help drive business success Develop and maintain financial models, templates and dashboards to track, organize and report on initiatives and key projects, work closely with regional teams to drive for standardized reporting Prepare reporting materials for presentations Perform ongoing variance/trend analysis among actual, budget and forecast targets Assist with in-depth periodic customer analysis including bookings, net expansion, churn and retention Participate actively in the design, creation and management of high impact financial models Ensure all off-line reporting reconciles with existing system-based management reporting Assist with the preparation of detailed budgets and forecasts, including P&L, cash flow, and balance sheet projections on a monthly, quarterly and annual basis Support process improvement initiatives Provide ad hoc analysis as needed What You'll Need: Bachelor’s Degree required; concentration in Accounting or Finance strongly preferred 3+ years’ experience in a FP&A role; preferably with SaaS / Cloud industry experience, or alternatively investment banking analyst experience Experience working with BI tools to access different data sources such as ERP, enterprise data warehouses, SQL, data visualization systems (Tableau, Sisense) and business support systems (e.g. Salesforce, NetSuite, Namely) Experience building dashboards is preferred Exceptional skills in MS Excel and PowerPoint a must, with ability to comfortably use pivot tables, macros, and importing / manipulating data Proficient in financial system and other database, strong ability in data mining and analytics High attention to detail with excellent analytic and research skills Strong finance acumen and financial analysis skills – including being detail oriented and proficient in building and using complicated data sources Proven ability to work with large amount of data from different sources, and provide meaningful insights A highly motivated, proactive and collaborative work ethic, with the ability to independently move projects forward Positive and upbeat personality to work in a dynamic environment with all levels of management and functions and to proactively anticipate and resolve potential issues Multitasking skills, act with sense of urgency, ability to work under pressure and meet deadlines CentralReach was developed for Clinicians by Clinicians. The story of CentralReach begins at an ABA clinic based out of Pompano Beach, Florida. The company’s founder, a practicing Board Certified Behavioral Analyst, was drowning in manual management of her clinic from scheduling staff and filing claims to reporting on clinical data. She decided that there had to be a better way to manage her operations so she could spend more time on what mattered most — working with her clients and patients. To help ABA practices focus on what they do best, CentralReach launched the first iteration of its EHR and practice management platform in 2012. Today, under the leadership of Chris Sullens, an award-winning CEO in the technology space, CentralReach is committed to their mission of providing cutting-edge technology and services to help clinicians and educators produce superior client and patient outcomes. Already a market leader, CentralReach is expected to grow exponentially through its four core tenets: hire and develop great people; build industry-leading products; provide exceptional service to customers and continuously invest in systems, processes and infrastructure. We value our employees and offer a robust benefits package including health and dental, paid time off, life insurance, disability coverage and a 401(k) matching. We also provide comprehensive onboarding, ongoing training, mentoring and career pathing to help you develop your career. We pride ourselves on our fun and energetic environment that also provides our employees with a meaningful way to make a difference by helping clinicians produce superior outcomes for children and adults with disabilities.

CentralReach 4.7

Matawan, NJ

Pompano Beach, FL

201 to 500 employees

Company - Private

Computer Hardware & Software

Information Technology

Unknown / Non-Applicable

DataFinch Technologies, Accupoint Software Solution, CodeMetro

CentralReach

NJ

Senior Data Analyst

$39K-$71K (Glassdoor est.)

Integrate is a rapidly growing, venture-backed enterprise SaaS business that helps B2B marketers grow revenue and reduce costs. We unify demand marketing channels into a single, powerful platform that help organizations achieve quantifiable business outcomes. We have a top-tier client list that includes Dell, Cisco, Salesforce, VMWare, Rackspace, Microsoft and more. Our name defines our purpose. We believe in a better and more efficient world for B2B marketers. Quick Hits: - 9+ Years Old - 275 Employees - $80M in Funding - Enterprise Marketing Technology The Senior Data Warehouse Analyst is essential to drive data integrity, accuracy, completeness, and value of our business information. The role will own the creation of data measures and their associated dimensional attributes that are distributed to stakeholders. In addition, this role will help to define enterprise data and distribute their definitions to ensure that stakeholders understand how to use the data for their specific purposes. What You'll Do: Develop strong partnerships with stakeholders to gather, understand and define data and reporting requirements, including development of multiple iterations to arrive at best solution to meet current/future needs Collaborate with system and business owners to understand and define the underlying data and meaning to the associated business and system processes Create SSAS in-memory databases in Visual Studio, along with the associated measures, definitions, relationships, and reprocessing routines Be the custodian of enterprise data definitions. Document, distribute, and continually improve the overall use of data terminology Manage enhancement/project list to establish a roadmap and meet critical deadlines essential to the business Develop Power BI and Excel solutions that will provide answers to business leadership questions Consistently researching and learning new abilities in the Power BI ecosystem to enhance current and future solution development What You Offer: 2+ years of experience working with Microsoft SQL Server Analysis Services and Power BI Understanding of how to use a Data Warehouse to obtain data for Power BI/Excel solutions through Analysis Services Strong experience with Visual Studio to develop Analysis Services solutions and deployment of SSAS models into Azure Data gathering, reporting, and analytical thinking skills Ability to work independently or within a team environment Drive and desire to learn and grow quickly with the pace of Microsoft product improvements Strong interpersonal skills Integrate In The News: Integrate Named Top Tech Startup in Phoenix Integrate Acquires Akkroo Integrate Acquires ListenLoop Why Four MarTech CEO's Bet Big on Integrate Typical Office Environment: Requires extensive sitting with periodic standing and walking. May be required to lift up to 35 pounds unassisted. May be required to lift over 35 pounds using assistive device and/or team lift. Requires significant use of personal computer, phone and general office equipment. Needs adequate visual acuity, ability to grasp and handle objects. Needs ability to communicate effectively through reading, writing, and speaking in person or on telephone.

Integrate 4.3

Phoenix, AZ

Phoenix, AZ

201 to 500 employees

Company - Private

Enterprise Software & Network Solutions

Information Technology

$25 to $50 million (USD)

-1

Integrate

AZ

Research Scientist

$38K-$85K (Glassdoor est.)

Research Scientist Location Nebraska - Omaha Specialty Facility Apply Now Job Title: Research Scientist Expertise in language learning and development City, State: Omaha, Nebraska Location: Center for Childhood Deafness, Language & Learning Job Summary: Scientists at Boys Town National Research Hospital are full-time researchers with no teaching or administrative responsibilities and reasonable service commitments. Senior scientists aim for 50% salary support on external grants. Via participation in the Center for Perception and Communication in Children (CPCC) funded by a Centers of Biomedical Research Excellence (COBRE) grant, junior scientists are provided with extensive mentoring and three years of full support to enable them to reach this goal. All scientists will have access to new, state-of-the art laboratory facilities, generous start-up funds, and extensive supports for grant management, IT, participant recruitment, and clinical measurement. Scientists at Boys Town National Research Hospital have the advantage of working alongside an outstanding, internationally recognized group of colleagues. In addition to clinicians and scientists in the CCDLL, collaborations are possible with faculty in the Centers for Neurobehavioral Research, Sensory Neuroscience Research, Audiological and Vestibular Services, and Hearing Research. Our intellectual community also includes colleagues at the University of Nebraska-Omaha, the University of Nebraska-Lincoln, the University of Nebraska Medical Center, Creighton University and the Creighton University School of Medicine. Our participation in the Great Plains IDeA-Clinical & Translational Research Center provides training opportunities, partnerships, and resources for scientists who wish to translate science into better health outcomes. Responsibilities: Work that fits this focus could involve examination of differences between learners with varying diagnoses; determination of the influences of intervention as well as family, academic, and social environments on language outcomes; comparison of developmental processes that support language learning during infancy, childhood, adolescence, and young adulthood; and investigation of brain adaptability and neurologic pathways that support language learning and development. We are assembling a faculty that can offer a unique perspective on such issues, one that is informed by a commitment to understanding and ameliorating the effects of childhood disabilities on language learning and development. Our vision is to grow the CCDLL into a program with tightly integrated research and clinical arms that work synergistically on issues of language learning and development. Required Qualifications: Ph.D. as well as post-doctoral studies or experience in Speech-Language Pathology, Cognitive Science, Developmental Psychology or a related field, and a record that demonstrates a highly productive and excellent translational research program. Expertise in pediatric clinical populations and treatment research is of particular interest, but not required. About Boys Town National Research Hospital: Since the opening of Boys Town National Research Hospital in 1977, the hospital has been internationally recognized as a leader in clinical and research programs focusing on childhood deafness, visual impairment and related communication disorders. The hospital annually serves more than 44,000 children and families from across the United States. With 28 research labs and $7.1 million annually in extramural funding, the Boys Town National Research Hospital is dedicated to providing leading edge clinical care, pioneering translational research, and improving the lives of children and their families through applied technology and educational outreach programs. Our employees are our #1 supporters when it comes to achieving Boys Town's mission, which is why we offer an array of competitive and attractive benefit options. Unique perks to Boys Town employees and their families include free visits to Boys Town Physicians, free prescriptions, tuition assistance, access to the campus Field House, parenting resources from our experts and advancement opportunities within the organization, just to name a few. Working at Boys Town is more than just a job, it is a way of life. Date Posted: February 4, 2020 Job ID: 15106 This advertisement describes the general nature of work to be performed and does not include an exhaustive list of all duties, skills, or abilities required. Boys Town is an equal employment opportunity employer and participates in the E-Verify program. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. To request a disability-related accommodation in the application process, contact us at 1-877-639-6003.

Boys Town Hospital 2.9

Omaha, NE

Omaha, NE

1001 to 5000 employees

Hospital

Health Care Services & Hospitals

Health Care

Unknown / Non-Applicable

Nebraska Medicine, Children's Hospital & Medical Center, Methodist Health System - NE and IA

Boys Town Hospital

NE

Data Scientist

$121K-$193K (Glassdoor est.)

The world's largest and fastest-growing companies such as Accenture, Adobe, DocuSign and Salesforce rely on Demandbase to drive their Account-Based Marketing strategy and maximize their B2B marketing performance. We pioneered the ABM category nearly a decade ago, and today we lead the category as an indispensable part of the B2B MarTech stack. Our achievements and innovation would not be possible without the driven and collaborative teams here at Demandbase. As a company, we're as committed to growing careers as we are to building word-class technology. We invest heavily in people, our culture and the community around us, and have continuously been recognized as one of the best places to work in the Bay Area. Demandbase is currently looking for a Staff Data Scientist to develop ground-breaking insights from our data sets and create a completely new way of data-driven thinking in B2B marketing —providing Sales and Marketing users with unique approaches for account-based advertising and web engagement. As a Staff Data Scientist, you'll be responsible for developing and testing hypotheses on behavioral responses in B2B marketing, creating models that extract data from, among others, website, digital advertising, and CRM solutions into actionable insights, and defining leading edge thinking on how analytical frameworks can be applied to predictive marketing. You'll engage closely with product managers, engineers, customers and others to turn your models into products that delight customers and create "A-HA" moments. You will engage with industry peers and experts and showcase your findings (of course while maintaining company and client confidentiality!). You are both hands-on and strategic—with both a broad ecosystem-level understanding of our market space and the ability to work closely with engineering and product teams to deliver software in an iterative, continual-release environment. This is a high-visibility position involving close collaboration across functional groups and with executive stakeholders at customers like the above. What you'll be doing: Own: Be the functional owner of the Data Science role Frame: Use data and insights to explore questions our customers and product team can and should be asking but never asked before. Define: Work with customers and internal stakeholders to define hypotheses and models, and with engineering teams to define productionalization of data science system Document: Write clear, concise descriptions of how insights can be converted into repeatable actions. Build: Write robust machine learning pipelines and data science systems that interface with production infrastructure and APIs Test: Continually test your models and refine assumptions, data sources and more. Drive: Work to spread understanding and buy-in among all stakeholders at all levels. Other duties as assigned What we're looking for: 2-4 years of data science experience—you have driven more than one greenfield project from concept to production release Strong quantitative and data analysis abilities (statistics, engineering, or financial academic background preferred)—making data actionable must be your thing! Good working knowledge of Spark is a must (we use Scala heavily) Any experience with Google Cloud (especially BQML) and AWS is a huge plus. Experience defining products & solutions containing large data sets from diverse sources— preferably in sales and/or marketing situations. Prior experience in the marketing or sales analytics/data science space desired Knowledge of web site, digital marketing, and CRM technologies and companies a big plus Other important qualities: You are perfectly comfortable working in a fast paced, market making environment You love data and data visualization—you love making data actionable for customers You are a driver and a doer You are truly passionate about asking and answering questions – some never asked before You have a strong sense of ownership for the products you help build Benefits: Our benefits include 100% paid for Medical, Dental and Vision for you and your entire family, 100% paid for short-term and long-term disability, 100% paid for life insurance, 401k, flexible vacation About Demandbase: Demandbase is the leader in Account-Based Marketing (ABM) and an indispensable part of the B2B tech stack. The company offers the only end-to-end ABM platform that helps B2B marketers identify, engage, close and measure progress against best-fit accounts. The biggest and fastest growing companies in the world, such as Accenture, Adobe, DocuSign, GE, Salesforce and others rely on Demandbase to drive their ABM strategy and maximize their marketing performance. The company has been named to the JMP Securities list "The Hot 100: The Best Privately Held Software Companies," the Deloitte Fast 500 and named a Gartner Cool Vendor for Tech Go-To Market. In 2019, Demandbase executives authored the definitive book on ABM, Account-Based Marketing: How to Target and Engage the Companies That Will Grow Your Revenue. For more information, please visit www.demandbase.com or follow the company on Twitter @Demandbase.

Demandbase 4.5

San Francisco, CA

San Francisco, CA

201 to 500 employees

Company - Private

Computer Hardware & Software

Information Technology

$100 to $500 million (USD)

Engagio, Bombora, Terminus

Demandbase

CA

Data Engineer

$54K-$102K (Glassdoor est.)

Sapphire Digital seeks a dynamic and driven mid-level Data Engineer to join our growing New Jersey team who will be responsible for operating and enhancing the performance and functionality of existing data management systems, as well as participating in the design and delivery of new database solutions. In this position, you'll be responsible for: Managing data activities such as data requirements gathering, data analysis/modelling, and data issues resolution using standard approved technology Managing standardization, migration, transformation, validation, and quality assurance of data within multi-database platforms Leveraging internal and external ETL tools for data processing and publishing Identifies and maintains company databases, including data sources, data structures, data organization, and data optimization Identifying complex issues proactively and is responsible to see them through resolution, including identifying trends through data analysis and manipulation Specific client data life-cycles from discovery to implementation to maintenance Formulating and monitors policies, procedures, and standards relating to database management Responding to production defects and relays information back to the Operations Manager to communicate to clients Contributing in all phases of the data and software development lifecycle when needed Creating and maintaining code through GitHub repository for change control Supporting off hours data processing and emergency requests as needed You might be a good fit if you have: Bachelor's degree (B. A. / B. S.) from four-year college or university; and two to four years related experience and/or training; or equivalent combination of education and experience. 5+ years of experience with SQL, database design, optimization, and tuning 5+ years of experience with Postgresql 4+ years of experience using Github 4+ years of experience in Shell Scripting and one other object oriented language such as Python, or PhP. 3+ years of experience in continuous integration and development methodologies tools such as Jenkins 5+ years of experience in an Agile development environment Time management skills Programming skills particularly SQL, Shell Scripting, and Python

Sapphire Digital 3.4

Lyndhurst, NJ

Lyndhurst, NJ

201 to 500 employees

Company - Private

Internet

Information Technology

Unknown / Non-Applicable

Zocdoc, Healthgrades

Sapphire Digital

NJ

Data Scientist

$83K-$144K (Glassdoor est.)

Job Description Takeda is looking for a Data Scientist to join our Data Engineering and Artificial Intelligence team. We are looking for a Data Scientist who can use their Machine Learning, Deep Learning, Data Wrangling and Presentation skills to help deliver insights for our most difficult questions. You will work with the rest of the team to enable Takeda to continue its journey of data maturity, delivering outputs while educating others. You will be helping to solve some of the biggest question at Takeda and for healthcare in general. Are you looking for a patient-focused, innovation-driven company that will inspire you and empower you to shine? Join us as a Data Scientist in our Cambridge, MA location. POSITION OBJECTIVES: Apply machine learning, deep learning and other advanced techniques while performing Data Analysis engagements. This is against structured and un-structured data sets, at small and large scale. Independently perform complex analysis using modern Data Science techniques against structured or unstructured data to generate insights. Provide mentorship to other Data Engineers, Data Scientists and Data Specialists across R&D and Vaccines at Takeda as we elevate our data IQ across the organization. Deliver critical analysis against Takeda’s toughest data problems to give us critical insight to the organization’s largest questions. POSITION ACCOUNTABILITIES: Perform machine learning, deep learning and other advanced data techniques at a level of quality that can be defended to peers across organizations. Introduce novel and state-of-the-art computational techniques to other teams and scientists to improve capabilities for data analysis with the purpose of deriving better insights from available datasets. Understanding and usage of different Supervised and Unsupervised learning techniques, their biases, how and when to apply them and which methods are the best for a particular analysis. Ability to wrangle raw data sets into a format that can have advanced methods applied against the resulting data. Work independently to solve difficult technology and data problems. Demonstrate usage of advanced tooling and techniques to other technical organizations throughout the company. EDUCATION, BEHAVIORAL COMPETENCIES AND SKILLS: Required Master’s Degree or PhD in Computer Science, Data Science or equivalent 3+ years’ experience or a PhD and relevant project / coursework Expertise with the Application of Machine Learning and / or Deep Learning Up-to-date knowledge of data wrangling and analysis technologies Experience with Spark Ability to manipulate voluminous data with different degree of structuring across disparate sources to build and communicate actionable insights for internal or external parties Possesses strong personal skills to portray information Ability to work in an agile and rapid changing environment with high quality deliverables Experience with two of the following languages: Python, R, Java or Scala Experience with deep learning frameworks: TensorFlow, MX Net Working knowledge of SQL and NoSQL datastores Preferred Experience in a scientific environment Experience with Reinforcement Learning WHAT TAKEDA CAN OFFER YOU: 401(k) with company match and Annual Retirement Contribution Plan Tuition reimbursement Company match of charitable contributions Health & Wellness programs including onsite flu shots and health screenings Generous time off for vacation and the option to purchase additional vacation days Community Outreach Programs Empowering Our People to Shine Discover more at takedajobs.com No Phone Calls or Recruiters Please. #LI-JV1 Locations Cambridge, MA Worker Type Employee Worker Sub-Type Regular Time Type Full time

Takeda Pharmaceuticals 3.7

Cambridge, MA

OSAKA, Japan

10000+ employees

Company - Public

Biotech & Pharmaceuticals

Biotech & Pharmaceuticals

$10+ billion (USD)

Novartis, Baxter, Pfizer

Takeda Pharmaceuticals

MA

Data Scientist

$120K-$160K (Glassdoor est.)

isn’t your usual company. Our work is powered by the premise that every person at is unique, possessing a distinct set of skills, personality, and passions. We embrace our collective talents to tackle technical challenges, refine our successfully disruptive business ideas, and co-create one of the most human and inspiring work cultures out there. We are a team of collaborators, valuing and rewarding shared success over individual heroics. As a member of our Data Science team, you will use your quantitative expertise to identify new areas of research and optimization, and then see those ideas through to production. Data Science is a fundamental contributor to Intent’s success - your work will have a direct and tangible impact on the business. There are no typical projects, but a workflow might involve performing research and analysis against petabytes of historical data using our collection of large-scale analytics tools like Spark, Snowflake, and RedShift, building prototypes using mostly Scala or another functional language, pairing with engineers on the Modeling and Prediction team to harden and deploy the functionality, and running live tests to monitor the results. All of these steps take place in an environment of respect and collaboration, and the Data Science team is empowered to own its agile processes. Every member of the team is expected to be both a student and teacher, and we believe that the most effective Data Science team is one that is collectively learning and growing. Experience in coaching and mentoring colleagues at all levels is strongly desired. As part of the Data Science team, you’d help build out a real-time predictive analytics platform that makes decisions for some of the largest sites on the web. About You: Significant industry experience in several of the following areas: personalized experiences, big data analytics, implementing machine learning & statistical methods, designing and running A/B tests, product design and life cycle, writing production code, designing online auctions. Experience in user experience customization a plus Experience coaching and mentoring team members Experience writing production software in languages like Scala, Clojure, Java, Python, or C++ in an agile, collaborative environment Experience with handling large amounts of data (TB+) in a production setting Experience with Spark is a significant plus Experience in ad-tech a plus About Us: is the data science company for the world’s leading online commerce and travel brands. Our Predictive Intelligence Platform uses patented technology to predict user behavior in real-time and identify the future value of every user. Over 450 innovative brands from more than 40 countries trust Intent’s real-time predictions to deliver personalized user experiences that maximize utility and ROI. Our team is over 100 people and our offices span globally. We’re headquartered in NYC with locations in London, Kuala Lumpur, and Sao Paulo. Every day, we’re inspired by two pursuits. First, we’re building novel products that are upending e-commerce. Second, we’re building the company we’ve always wanted to work for — one that’s open, human and collaborative, where very smart people come together to share ideas and get things done. We’re included on Built in NYC's Best Places to Work list and have been on Crain’s 100 Best Places to Work in NYC list for seven years running. Love Your Job! Our employees enjoy coming to work, and we let them know they're valued. Our vibrant team accomplishes a lot every day, but we insist upon work/life balance so things never become stale. We don’t take ourselves too seriously, but we take our work very seriously. We believe that in order for our employees to perform their best, they need access to strategic decisions, and so our flat structure and open communication invite innovation from all levels — ideas flow freely. We offer competitive compensation, stock options, and great perks & benefits, including: Unlimited vacation A generous parental leave policy A beautiful, dog-friendly office in SoHo with drinks and snacks An open environment with lots of natural light and roof deck access Annual $2,000 learning budget and Citi Bike membership Access to Fond, our employee perks program featuring deals and discounts on hundreds of products and services Access to Sherpaa, a telehealth service with 24/7 In-office yoga classes Company-wide social events, and more! So what are you waiting for? Apply with your resume in just a few clicks! About Us Our Products Our Dogs Twitter Instagram

<intent> 4.6

New York, NY

New York, NY

51 to 200 employees

Company - Private

Internet

Information Technology

$100 to $500 million (USD)

Clicktripz, SmarterTravel

<intent>

NY

Data Scientist

$102K-$163K (Glassdoor est.)

Formation provides personalization for the largest enterprise businesses in the world. We work with high volume data streams to deliver tailored experiences and orchestrate physical and digital exchanges into a seamless journey. Our Data Science Team is transforming the way people engage across multiple industries. You'll collaborate closely with engineers and share responsibility throughout the product life-cycle. You'll work in small, self-sufficient teams with a common goal: deliver excellent data science solutions anchored in a culture of quality, delivery, and innovation. As a Data Scientist at Formation you're capable of working in an agile data science environment to generate and test hypotheses quickly. You're also passionate about improving, optimizing, and developing new reinforcement learning (RL) strategies to enhance the value of our platform. Key Responsibilities: Apply RL and statistical analysis to complex, real-world problems through massive data sets Independently design, test, and productionize RL-based experimentation to refine customer strategies Collaborate with colleagues in product and customer success roles, sharing responsibility throughout the product life-cycle Ability to explore an unfamiliar and large data sets with big data tools such as Hive or Spark Present methodology and results to external stakeholders and Fortune 500 clients Skills and Experience: Minimum 2 years experience as a Data Scientist, prior software development experience is a plus Master's or Ph.D. in a relevant technical field (e.g. Computer Science, Mathematics, Statistics, Physics) Prior experience with RL frameworks such as TensorFlow or Vowpal Wabbit, and Spark is a plus Machine learning knowledge with a focus on contextual bandits, reinforcement learning, recommender systems, knowledge of common Data Science concepts related to e-commerce (e.g. lifetime value, net incremental revenue, churn) is a plus Demonstrated ability to communicate and collaborate with peers Demonstrated skills in result-driven problem solving About Formation Formation is the global leader in developing scalable solutions for individualized offers. We drive business results by building and deepening the relationship between big brands and their customers. We use artificial intelligence (AI) and machine learning (ML) algorithms to constantly analyze an audience and fine-tune offers. Our approach enables offers to become smarter and more effective with each customer interaction, resulting in a better experience. Formation strongly believes differing perspectives + passionate discourse achieve the greatest outcomes. We give our whole selves and we are building a team we can learn from. We are committed to inclusion and diversity and we are an equal opportunity employer. All applicants will receive consideration without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, disability, or veteran status. Also, we are thrilled to be named one of the Top 50 startups by LinkedIn! Every member of our team makes Formation a special place to work and grow. Come join us and see for yourself!

Formation 3.2

San Francisco, CA

San Francisco, CA

51 to 200 employees

Company - Private

Enterprise Software & Network Solutions

Information Technology

Unknown / Non-Applicable

-1

Formation

CA

Data Engineer

$76K-$140K (Glassdoor est.)

Location: San Francisco, CA- United States Job ID: 20WD39619 Position Overview Autodesk is seeking a Data Engineer with experience building production data pipelines to join our Data Platforms and Insights team. The Data Platforms and Insights team is chartered with building robust and resilient pipelines that create the master data sets that serve as the building blocks for all data scientists and data analysts throughout the organization. In addition, this team establishes and promotes the data engineering standards and best practices across Autodesk and help to lead the effort to make data an integral part of decision making at Autodesk. The ideal candidate will be responsible for designing, developing, implementing and documenting data solutions for complex ETL data pipelines, and lending technical expertise within the group. The ideal applicant will be able to thrive in a highly collaborative workplace and actively engage in the development process. Responsibilities Map and automate data flow from a variety sources including desktop, web, and mobile product feeds and business systems Develop workflows for data science workloads utilizing orchestration tools (e.g. Airflow) to manage Spark workloads Deploy data science pipelines to support production data science models (e.g. Sagemaker) Deploy solutions via automated CI/CD processes to execute data pipelines running in batch Work with programming languages used for data manipulation, including Scala, PySpark, Spark SQL, R, or Java Design, develop, execute and document software solutions to address complex data collection, processing, transformation and reporting issues Collaborate with peer organizations, dev ops, support organizations on technical issues and provide guidance Interpret and translate business needs to technical requirements Work with team to troubleshoot code level problems quickly and efficient on as need basis Develop, refine and educate the data community on coding standards and best practices Participate in code and document reviews Minimum Qualifications Bachelor’s Degree or relevant experience in the field of Computer Science, Mathematics or Statistics 2 to 3 years of experience in big data technologies including Spark, Hadoop, RedShift, Vertica, Snowflake, Hive, Lambda, Glue, S3, Airflow Proficiency in executing analysis using SQL, Hive, R, Spark Data frames, Scala, and/or Python Strong SQL skills Details-oriented with a focus on best practices for design and implementation of scalable data engineering solutions Fluency with one or more of the scripting languages: Python, Java, Scala, etc. Working knowledge and experience with basic and complex data structures Good communication skills and ability to explain complex topics to a non-technical audience Knowledge and experience with large data sets, event streams and distributed computing (Hive/Hadoop, Spark etc.) Experience working with Agile Scrum Teams Experience in Version control management - tracking and coordinating engineering work Proven experience of finding bugs and vulnerabilities with automated tools Expertise in data research/analysis with a focus on data quality and consistency Experience with algorithms, distributed storage & compute to solve complex business problems Preferred Qualifications Experience with container systems like Docker and container orchestration like EC2 Container Service, Kubernetes, Terraform. An advanced school degree

Autodesk 4.0

San Francisco, CA

San Rafael, CA

5001 to 10000 employees

Company - Public

Computer Hardware & Software

Information Technology

$2 to $5 billion (USD)

-1

Autodesk

CA

Ag Data Scientist

$60K-$101K (Glassdoor est.)

We're leaders. Innovators. Perfectionists. Constantly improving our products and practices, with our customers always at the forefront of everything we do. We’re the largest family-owned, retail seed company in the country and we’re looking for qualified leaders like you to help us grow. When you join Beck’s, you join a family. And it’s what we do together that sets us apart. Our Ag Data Scientist will take our innovative technology solutions to the next level by creating tools for our Technology team and providing insight and analytics on datasets.Our Ag Data Scientist will provide support and management of department projects as directed. This positions requires citizenship of or current work authorization in the United States.

Beck's Hybrids 4.6

Atlanta, IN

Atlanta, IN

501 to 1000 employees

Company - Private

Farm Support Services

Agriculture & Forestry

$50 to $100 million (USD)

-1

Beck's Hybrids

IN

Data Scientist

$82K-$133K (Glassdoor est.)

DrFirst is an innovative Health IT company with a mission to create user-friendly solutions so that doctors can treat their patients quickly, efficiently and safely. Over 220,000 healthcare professionals, 67,000 pharmacies and 60% of the healthcare IT vendors in the market depend on us every day to reduce clinical errors and improve patient outcomes. Our culture is entrepreneurial, team oriented, collaborative, and fast-paced. We look for talented people who are passionate about data and developing world class software. If you want to build applications that save patients’ lives, we want to talk to you! Your role on the team is to understand and analyze the complex data available to DrFirst derived from its electronic medical records system. This data combines doctor prescribing and patient medication adherence history, allowing our team to understand both the doctor’s intention for patient Rx treatment and the actual patient behavior in filling prescriptions. Since DrFirst’s products intervene at the critical time between the doctor writing a prescription in the office and the patient picking it up at the pharmacy, we are able to uniquely influence patient medication adherence behavior. Your work will impact thousands of doctors and touch the lives of millions of patients across the country. Who will love this job A passionate data enthusiast who thinks and speaks in data A dedicated engineer who knows how to implement his/her ideas A self-starter who thrives in an informal, innovative environment and can work on multiple projects and project types with limited oversight A team player who exhibits a can-do mentality and is always willing to help the group Build. We apply various machine learning approaches to solve the problems at hand and build solutions. Understanding the variety of internal and external data sources and accurately combining then retrieve, prepare, and process a variety of data source to form a complete patient profile. Perform exploratory data analysis, generate and test working hypotheses, and uncover data issues, interesting trends and relationships to create a predictive framework. Deploy. Our data scientists are involved in all aspects of the model building process, from conception to deployment. We think it’s important to be close to implementation and have a line of sight into how our models integrate with our products. Learn. Our team is full of life-long learners. We are looking for people who always have an eye out for what’s next. Keeping up with trends and best practices in the machine learning, data science and health data communities is a way of life here. Solve. The problems we are solving are unique and complex. This takes critical thinking, root cause analysis, and issue dissection with the team to come up with the best solution. Deliver. We are committed to producing world class products. Being skilled at managing competing priorities, pivoting and adjusting quickly, and thinking about the big picture are keys to success. Masters/PhD in Computer Science, Engineering, Statistics, Physical Sciences, Operations Research or another similar quantitative field Proficiency in Python is required, knowing Bash is a plus Passionate about data and analytics Deep understanding of statistics Comfortable working with Linux or MAC OS Basic understanding of databases and data engineering Basic understanding of software engineering and familiarity with SDLC, Agile, XP, Git and issue tracking Experience with NLP is a plus - 70% Desk/phone work - 30% Standing/moving throughout the office *This position is not eligible for Visa sponsorship. We offer comprehensive benefits to keep you healthy as you grow in your life and career. Your merit-based compensation will reflect the impact your work has on the company and our customers. Learn more about our benefits and professional development opportunities here.

DrFirst 2.8

Rockville, MD

Rockville, MD

201 to 500 employees

Company - Private

Health Care Services & Hospitals

Health Care

Unknown / Non-Applicable

-1

DrFirst

MD

Data Engineer

$65K-$125K (Glassdoor est.)

Job Description Why consider OPI, and why do people dig working here? Variety of consulting; new technologies, projects, and people on a regular basis. Stability; we’ve been around since 1996 and have a diverse mix of clients and technologies to keep us busy, very busy. And we keep a bench. If you’re not on a project, you’re writing software for our internal business functions or you’re learning new technologies. It’s in our benefit to make our consultants as marketable as possible. That’s good for your career. No politics or management; we don’t get in the way. Why sit in meetings all day when you can code and be productive? Awesome benefits; free healthcare for your entire family (yes, free), 24 days of PTO + 10 days of sick time, quarterly profit sharing bonuses, you get paid OT, company trips (to Mexico), 3 company lake cabins/homes, various quarterly company events, new Macbook Pro’s, free beer/soda, chips, candy, and so much more. You work with the best. Do an Object Partners search on LinkedIn and see the types of talent we hire. You truly get to work with intelligent, passionate engineers that share the same goal of building great software the right way. Low company overhead. It all means more money back into our consultants pockets (profit sharing) or company trips and events to share in the financial success. Qualifications Architecture and design of highly available/scalable distributed systems. Design and development of streaming data platforms using Kafka Streams, Spark, Flink, Storm, Beam or Cloud Dataflow. Experience with functional/event-driven programming. NoSQL technologies such as ElasticSearch or Cassandra. Messaging technologies such as RabbitMQ, Kafka or Kinesis. SQL on Hadoop technologies such as Hive, Impala or Presto. Cloud services such as AWS, Azure, GCP or OpenStack. JVM languages such as Java, Groovy, Kotlin or Scala. Service frameworks such as Spring Boot, Ratpack, Vert.x, or Play. Knowledge of data analytics, visualization and governance. Knowledge of operating big data production solutions at scale. Knowledge of CI/CD pipelines and DevOps culture. Passion for software development. Someone that loves what they do, that aren’t just in it for a paycheck. Do you have dev projects going on at home at all times? New projects, new teams, new technologies means having to adjust and learn all the time. You might get thrown on a DevOps project as well, so having the ability to jump in and get your feet wet without hesitation is important. If you don’t want to grow and learn, we’re not a fit. Positive, can-do attitude. We can teach the technology, but we can’t teach how to approach client challenges with a positive, helpful demeanor. The best consultants aren’t the most technical (although that sure helps), it’s the consultant that will do whatever it takes to see a client be successful, no matter what they throw at you.

Object Partners 4.7

Minneapolis, MN

Minneapolis, MN

51 to 200 employees

Company - Private

Consulting

Business Services

$25 to $50 million (USD)

Solution Design Group, Intertech (Minnesota)

Object Partners

MN

Data Scientist II

$91K-$148K (Glassdoor est.)

Data Scientist II Job Category: Information Technology Department: Enterprise Data Strategy Location: Los Angeles, CA, US, 90017 #job-location.job-location-inline { display: inline; } Position Type: Full Time Requisition ID: 5568 Established in 1997, L.A. Care Health Plan is an independent public agency created by the state of California to provide health coverage to low-income Los Angeles County residents. We are the nation’s largest publicly operated health plan. Serving more than 2 million members in five health plans, we make sure our members get the right care at the right place at the right time. Mission: L.A. Care’s mission is to provide access to quality health care for Los Angeles County's vulnerable and low-income communities and residents and to support the safety net required to achieve that purpose. Job Summary The Data Scientist II is responsible for supporting L.A. Care’s strategic business initiatives through the application of predictive analytics as part of production workflows. This individual will lead projects through the iterative data science process (Stating the Question > Exploratory Data Analysis > Model Building > Interpretation > Communication > Operationalization), collaborating with business, I.T., and data subject matter experts from across the enterprise. Duties Ability to query, transform, and integrate data from multiple sources and structures. Research and develop predictive learning models using modeling software. Effective communication of reproducible analyses and results (including failures), both visually and orally, in peer review and customer settings. Collaborate and work closely with other departments to identify gaps and structure problems. Propose solutions and actionable strategies to business challenges. Work closely with domain experts (both business and data) to understand processes and solution inputs. Monitor the performance of operationalized predictive models. Perform other duties as assigned. Education Required Bachelor's Degree in Computer Science or Engineering In lieu of degree, equivalent education and/or experience may be considered. Education Preferred Master's Degree in Statistics Experience Required: At least 6-8 years of traditional data analysis, including querying, aggregation, basic statistical analysis, and visualization with the intent to provide business insights (preferably in a health plan). At least 2+ years of applied predictive modeling in a business setting (preferably in a health plan). Skills Required: Working knowledge of relational databases, database structures. Proficiency in Apache Spark, R and SQL (Tableau, Python, and SAS a plus). Exploratory data analysis capabilities to understand the data. e.g., estimates of location and variability, correlation matrices, feature comparison visualization, trend analysis. Regression and classification predictive model development and interpretation using: Heuristic/traditional techniques. e.g., linear regression, logistic regression, Naïve Bayes; Supervised machine learning techniques. e.g., decision trees, bootstrap aggregation, boosting, deep learning; Unsupervised machine learning techniques. e.g., k-means clustering, principal component analysis, hierarchical clustering. Working optimally as part of a cross-functional team. Ability to initiate and drive projects to completion with minimal guidance. Ability to problem solve and quickly find solutions on your own. Strong interpersonal skills, including the ability to influence management at various levels of the organizations. Licenses/Certifications Required Licenses/Certifications Preferred Required Training Additional Information L.A. Care offers a wide range of benefits including Paid Time Off (PTO) Tuition Reimbursement Retirement Plans Medical, Dental and Vision Wellness Program Volunteer Time Off (VTO) Nearest Major Market: Los Angeles Job Segment: Medical, Healthcare

L.A. Care Health Plan 3.0

Los Angeles, CA

Los Angeles, CA

1001 to 5000 employees

Nonprofit Organization

Health Care Services & Hospitals

Health Care

Unknown / Non-Applicable

Health Net, Kaiser Permanente, Molina Healthcare

L.A. Care Health Plan

CA

Senior Data Engineer

$95K-$173K (Glassdoor est.)

The mission of our data team at Red Ventures to make data easy-to-use for everyone. We are hiring Sr. Data Engineers who are excited to overcome challenges, work with the latest AWS technologies, and continue making our data better. Our Sr. Data Engineers are a key part of building our data infrastructure. Basically, we are using Spark as our universal program on how we are transferring data across multiple platforms. What You'll Do: Use Spark for streaming applications and/or as an ETL tool, Data Aggregation, User Defined Functions, as well as the Spark UI to analyze behavior and performance. Design, develop and automate high-quality, scalable solutions across the entire data lifecycle, from raw data to powerful insights and analytics. What We're Looking For: Spark, working in RDDs and DataFrames/Datasets API (with emphasis on DataFrames) to query and perform data manipulation Spark Structured Streaming (We process a ton of data in real time) Experience building large scale Spark applications, ideally with either Batch processing and/or Streaming processing Scala would be ideal but a solid knowledge of Java is also acceptable Experience in SparkSQL (Broadcast Joins) Experience with cloud computing platforms, we use AWS (Kinesis, S3, Lambda or DynamoDB would also work) Has experience with ANSI SQL relational database (Oracle, SQL, Postgres, MySQL) Even Better: Linux common working knowledge, including navigating through the file system and simple bash scripting General knowledge of distributed systems and distributed data processing frameworks Experience with Storm, Kafka, or Cassandra is a plus Knowledge about agile software processes Who We Are: Founded in 2000, Red Ventures is a portfolio of growing digital businesses that bring consumers and brands together through integrated e-commerce, strategic partnerships and many proprietary brands including Bankrate, AllConnect.com and Reviews.com. Headquartered south of Charlotte, NC, Red Ventures has over 3000 employees in offices across the US, as well as London and Sao Paulo. For more information, visit www.redventures.com. At Red Ventures we believe that diversity makes us stronger - at work and in the world. Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications.

Red Ventures 3.2

Charlotte, NC

Fort Mill, SC

1001 to 5000 employees

Company - Private

Advertising & Marketing

Business Services

$1 to $2 billion (USD)

Clearlink, Credit Karma, LendingTree

Red Ventures

NC

Data Scientist

$77K-$124K (Glassdoor est.)

Company Description: Whats it like to work at Quick Base? Well, our company, our market and our customers are growing fast. This means all Quick Base employees are engaged in interesting and challenging work, we have the opportunity to try new and different things and lots of room for career advancement (1/3 of our employees are in a new role from 1 year ago!). We work with exceptional colleagues and foster an environment that empowers those closest to the work to make decisions and provide each other the support to move quickly and learn as we go. Quick Base combines the excitement and pace of a startup with the stability and work/life balance of a market leader. Find out if Quick Base is for you! The Team: At Quick Base, we believe that exceptional employees are the key not only to our success, but also to our customers success. Our teams are small, diverse, nimble, and highly-empowered to drive company excellence. Each team owns its own commitments and outcomes. Our employees enjoy interesting challenges, learn fast, and strive to do the best work of their life. About the Role: The Quick Base Analytics team serves all aspects of our business and uses advanced business intelligence and data techniques to help drive our strategy, operations, and make better business decisions. Were looking for a talented and creative Data Scientist to join this team to help with model building, intelligent targeting and data matching, as well as developing reports. This is an opportunity to help with large initiatives including integrating data sources across the enterprise, developing and incorporating predictive analytics into business processes, and helping with common data definitions and quality. This position will also involve day to day data and list creation across the entire business. Responsibilities: Accessing and synthesizing data using appropriate tools and technology while leveraging knowledge of data sources, data quality and business context Applying advanced analytical/statistical methods to provide stakeholders with analysis, insight and direction that informs strategic corporate decisions Translating analytical findings and insights into the language of business stakeholders and confidently presenting them to all levels of the organization, including C-Level leadership Ensuring that data findings are appropriately visualized in a way that will resonate with stakeholders and clearly highlight implications Collaborating with C-Level leadership to create analytic models and developing Key Performance Indicators dashboards/reports Developing reusable code and algorithms to wrangle and classify existing data Evangelizing data stewardship, pursuing data quality and driving data issues to resolution Developing and maintaining a standardized and reliable metrics pipeline to empower stakeholders and decision makers with timely and accurate data and accompanying insights Joining data from disparate sources to create meaningful and impactful analyses Independently working with business stakeholders with limited managerial oversight Leveraging industry best practices with the evolving analytics infrastructure Qualifications: Experience translating business questions into analytic frameworks and analytic results into business recommendations Knowledge of statistical methodologies and experience using statistical/analytical tools Experience in data requirement elicitation, consolidation, validation, report/dashboard creation and quality assurance Ability to work with diverse data sets and distill business insights Experience with machine learning approaches to problem solving including NLP, Clustering, Decision Trees, Regressions and Neural Networks. Advanced proficiency and experience with Python (pandas, scikit-learn) and T-SQL. Advanced Microsoft Excel proficiency Proficiency with data visualization tools such as Tableau and Microsoft Power BI Experience effectively bridging business and technical teams Must have: MS in Applied Math, Statistics or Quantitative Finance, plus at least 3 years of experience as a Data Scientist, Data Insights Analyst or similar role performing quantitative and qualitative business analysis

Quick Base 4.4

Cambridge, MA

Cambridge, MA

201 to 500 employees

Company - Private

Enterprise Software & Network Solutions

Information Technology

Unknown / Non-Applicable

-1

Quick Base

MA

Data Scientist

$80K-$135K (Glassdoor est.)

E.W. Scripps is a company rich in media history focused on the future. We are one of the nation's largest independent TV station owners with 60 stations nationwide, and we are working to stay ahead of the ways in which people use technology to find news and information. Our commitment to the future means that discovery is commonplace, the status quo is challenged, iteration and collaboration are the norm and new ideas are welcome. Join a team of top performers and help shape the future of the most strategic and well positioned media company – E. W. Scripps. This position will be located in Cincinnati, OH or Washington, DC. At Scripps, you’ll: Have a complete modern data science/analytics software stack at your disposal. Enjoy a broad scope of responsibility – with projects and questions from every part of the business and new businesses under consideration. Know that your work will have an impact on key strategic decisions – changing and shaping the way we do business. This is why we are so selective in our hiring process. Grow your talent with constant learning – with substantial investments in on-site and hands-on training and eLearning formats used to fill in the gaps. Work on projects that are important and interesting to you – with focus on modern media and marketing strategies Expand your horizons by attending and giving talks at conferences and professional networking opportunities with senior analytics professionals. Become a leading expert in applied data science for media. We are looking for someone who knows how to use the latest data analytics tools, will thrive in our fast-paced innovative environment, will deliver results and has the following experience and credentials. Primary purpose: The Data Scientist blends the skills of a business thinker with those of a data analyst: asking questions, turning data into knowledge, forming conclusions, and making recommendations that enable the company to innovate, differentiate itself from its competitors, work smarter, make better decisions, and enhance profitability. This individual will partner with the analytics team, analytics products and services director, business leaders and end users to be a change agent - teasing out the questions that are important to our business, and then use statistical analysis and data mining techniques to inform the answers and communicate conclusions both visually and in writing, along with recommendations and next steps. The Data Scientist will also participate in the creation and measurement of new business processes, tools, and products. Key responsibilities: Influence the course of the business as a trusted advisor to business leaders, users and clients, using data and analytics as a basis for better, more informed decision making Creation of analytics and measurement roadmaps Identify impactful choices or courses of action that drive value for the organization Evaluate the big picture and solve business problems in addition to focusing on metrics Influence the direction of the business by effectively communicating conclusions to cross-functional groups Create automation applications to replace tasks for critical revenue generating teams decreasing time dedicated to non-revenue generating Mine large amounts of data and perform data analysis to extract useful business insights for a wide range of topics including product development and performance, market dynamics, consumer and audience knowledge, internal operations, and external research Initial study design, acquisition of data, prototyping and production roll out Ongoing tracking, monitoring, and periodic follow-up studies Support the design and implement of reporting dashboards that track key business metrics and provide actionable insights Use software and other tools to develop analyses that identify patterns, influences, correlations, relationships, predictive factors, risk factors, and that provide better situational awareness Creation of models, simulations, and optimization routines Develop of data flows and acquisition strategies to facilitate the capture and sharing of data and analytics within the organization Support the development of Scripps analytics products and services by providing input into product roadmaps Be a positive force to cultivate a culture that is passionate about developing analytics as a business competency Drive accountability for value recognition and business results Create and contribute to a quality work environment that motivates team members to perform at their highest levels and positively affects employee and business partner relationships Be a publicly visible presence, including creating communications and leading training sessions, advocating for the benefits of analytics in Scripps and the products/services of the analytics team Education / work experience: Bachelor's required, Masters preferred. Applied statistics, Computer Science, business analytics or a related field. Minimum 3 years, 5+ years preferred, experience in solving analytical problems using quantitative approaches apply to this requirement. Experience and demonstrated success presenting complex analyses and final recommendations to business leaders and external clients. Statistical method experience: Analysis techniques such as marketing mix modeling, scenario modeling, pattern detection, A/B testing, nearest neighbor, cluster analysis, sentiment analysis, decision trees, optimization, simulation, regression analysis, agent-based modeling, ensemble models, collaborative filtering and other types of analysis Software Proficiency: Python, RapidMiner, R Database skills (Snowflake, MySQL) experience preferred Tableau About Scripps: The E.W. Scripps Company (NASDAQ: SSP) advances understanding of the world through journalism. As the nation’s fourth-largest independent TV station owner, Scripps operates 60 television stations in 42 markets. Scripps empowers the next generation of news consumers with its multiplatform news network Newsy and reaches growing audiences through broadcast networks including Bounce and Court TV. Shaping the future of storytelling through digital audio, Scripps owns top podcast company Stitcher and Triton, the global leader in technology and measurement services. Scripps runs an award-winning investigative reporting newsroom in Washington, D.C., and is the longtime steward of the Scripps National Spelling Bee. Founded in 1878, Scripps has held for decades to the motto, “Give light and the people will find their own way.” As an equal employment opportunity employer, The E.W. Scripps Company and its affiliates do not discriminate in its employment decisions on the basis on race, sex, sexual orientation, gender, color, religion, age, genetic information, medical condition, disability, marital status, citizenship or national origin, and military membership or veteran status, or on any other basis which would be in violation of any applicable federal, state or local law. Furthermore, the company will make reasonable accommodations for qualified individuals with known disabilities unless doing so would result in an undue hardship for the company. If interested, please apply at www.scripps.com/careers. #LI-CH1 #GD-CH1

The E.W. Scripps Company 3.5

Cincinnati, OH

Cincinnati, OH

1001 to 5000 employees

Company - Public

TV Broadcast & Cable Networks

Media

$500 million to $1 billion (USD)

-1

The E.W. Scripps Company

OH

Data Engineer

$85K-$159K (Glassdoor est.)

We are an ambitious, well-funded startup with plans to change a $1 trillion-dollar global industry. This is no ordinary startup. We have a proven management team that has done it before, done it before together, and done it before in the travel industry. The company is overflowing with fiercely intelligent people who have tons of energy and an upbeat view of the future. We all act like owners and we get a huge kick out doing great work and doing it fast. We like it even more when we come up with a fresh way to solve a problem. Above all, we are devoted to solving customer problems, because that’s at the center of everything we do. ABOUT YOU You are an individual contributor who works well in an agile team. You have strong software development chops and deliver tested and scalable code in a language like Python, Golang, Java, or Scala. You have experience with system integrations and can explore APIs, documentation, system logs, etc. to come up with solutions. You have worked with several big/fast data platforms such as AirFlow, Snowflake, Kafka, ElasticSearch, Spark, and Hive. You have advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. You feel at home working in the AWS ecosystem. You have strong analytical skills related to working with unstructured datasets. You appreciate that engineering is all about tradeoffs and realize there is a time and place for streaming, batch, and offline. ABOUT THE GIG Create and maintain optimal data pipeline architecture. Assemble large, complex data sets that meet functional / non-functional business requirements. Write and maintain code to move and transform data both within our application as well as in/out of our partners’ systems. Work with Data Science to ensure efficient and timely access to data for experimentation, model training, and machine learning applications. Deliver solutions that are testable, observable and scalable. Automation is central to our ecosystem and all solutions will have a CI/CD delivery methodology. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Keep our data separated and secure across national boundaries through multiple data centers and AWS regions. Create data tools for analytics and data scientist team members that assist them in building data products and services. Build analytics tools that utilize the data pipeline to provide actionable insights across key business performance metrics. (DataDog Dashboards, Looker). ABOUT ENGINEERING AT UPSIDE We love to ship. We’re completely on the CI/CD train, shipping code multiple times a day. We’ve developed a clustered container environment in AWS using Docker and Kubernetes to manage dozens of microservices written primarily in Node and Go. Our web frontend is written in React/Redux and we’re building native iOS and Android apps that take full advantage of the powerful platforms they run on. ** ABOUT US We are positive, passionate, playful, and always pushing to be better. Our team is a hodgepodge of challenge seekers, travel gurus, startup junkies, and data-miners who see the big picture. YOU WANT TO TALK TO US IF… You are motivated by disrupting the norm. You have a great sense of humor and take your profession seriously, but not yourself. Your entrepreneurial spirit drives your bias for action. You are all about constructive feedback - you can dish it out and you can take it. You thrive in the frenetic energy of a startup. WHAT WE OFFER Competitive salary + equity Full health, vision, and dental coverage 401K plan Open paid time off Impromptu Nerf gun battles Upside Travel is an equal opportunity employer and encourages people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. We are committed to being an inclusive place to work, while maintaining a workforce that represents the communities we serve.

Upside Business Travel 4.0

Washington, DC

Washington, DC

51 to 200 employees

Company - Private

Internet

Information Technology

Unknown / Non-Applicable

-1

Upside Business Travel

DC

Data Engineer

$80K-$105K(Employer est.)

Working for Equity Residential (EQR), a leading multi-family real estate investment trust (REIT), means being part of a community and striving to provide the best in apartment living, speaking boldly about new ideas for innovation, and inspiring creativity in the ways we work together. Our portfolio of high-quality properties in urban growth markets New York City, Boston, Washington DC, Seattle, San Francisco, Denver and Los Angeles provides homes where people most want to live, work and play. We've got the best people in the business, and our experience shows in our dedication to our residents and in how much we value each other as colleagues. Thats why our employees say they are proud to work at Equity, a company that gives our residents a place where they can Live Remarkably, and offers a culture where our employees have the opportunity to make their mark. As a Data Engineer, you'll join our growing team of data scientists and engineers, reporting into EQRs Operations organization but working across multiple teams throughout the company. In this role, youll be responsible for handling the design and construction of scalable data management systems ensuring that all data systems meet our company requirements and will also research and recommend new uses for data acquisition. As a Data Engineer, you will implement the data models and data structures needed for each use case, in the most convenient format to be used by the Data Science and Business Intelligence teams. Through regular interactions with stakeholders and functional business unit leaders, you will build high-performance algorithms, predictive models, and prototypes that influence EQRs data storage, piping, and usage. Additionally, you will participate in data requirements, modeling and testing activities. Each day will be unique, requiring an ability to think strategically and on your feet, be creative, take initiative, and employ a diverse set of skills. WHO YOU ARE Knowledgeable, Analytical, and Solution-Oriented. Without a doubt, youve got strong quantitative skills and are comfortable analyzing large data set, spotting trends and patterns, and synthesizing relevant observations. You use a hypothesis-driven approach to engage in analysis that will deliver on your client questions. You like thinking outside the box to come up with innovative points of view on new challenges, relying on your previous analytic work and experience to help guide you along the way. Results-Oriented. You demonstrate an inherent sense of urgency to drive great results, while being precise in executing your work. You are facile with creating and communicating a clear project plan, tracking progress, and keeping your business partners in the loop along the way. Intellectually Curious. You're inherently interested in the "why" so that you can identify opportunities that represent unconventional solutions to the problems you are trying to solve. Strong Communicator. Your writing and speaking skills are concise, articulate, and effective, providing an ability to interact with all levels/various teams across the organization, be understood, and develop trust and rapport within the organization. Technologically Savvy. Microsoft Excel is a basic tool to you that you know like the back of your hand. You also have a strong skill set in R, Python, ArcGIS, machine learning, neural networks and/or other advanced analytics tools and techniques. A Trusted Team Player. You enjoy partnering with others and build constructive working relationships that foster the collaboration necessary to deliver great results. You are accountable to your teammates and follow through on commitments. Organized and Confident. You are flexible, composed, and able to prioritize multiple tasks and deadlines simultaneously, while confidently interacting with a variety of individuals, across all levels of the organization. You handle pressure well and do so with confidence. WHAT YOULL DO Create data models and data processes, providing the right format and structure for use case solutions. Participate in early data modeling and testing for use case development, providing input on how to improve proposed solutions and implement necessary changes. Help to build, document, and maintain best practices, including but not limited to codebase management, work and issue tracking, testing and quality control/assurance measures, data dictionaries, and a documentation hub for both production level code and ad hoc analyses. Interact with stakeholders and functional subject matter experts to understand all data requirements in order to develop effective business insights and translate them into actionable data structures and data models. Assemble large, complex data sets that meet both functional and non-functional business requirements. Extract relevant data to solve analytical challenges the organization and/or functional business units may face. Work closely with IT teams on internal data acquisition (e.g., CRM, ERP, etc.). Partner with stakeholders to provide technical support related to data structures, data models, data management and data infrastructure needs. Work with data and analytics experts to strive for greater functionality in our data systems. Recommend different ways to constantly improve data reliability and quality. Research new uses for existing data. Create data tools for Business Intelligence, Analytics and Data Scientist team members that assist them in building and optimizing our Company use of data. Collaborate regularly with key stakeholders to support and enhance the day-to-day operations of our business. Produce various reports for stakeholders, as requested, to highlight areas of opportunity; works with teams to develop and implement changes, as needed. Develop and maintain formal documentation that describes data and data structures, including data modeling. PREVIOUS EXPERIENCE & REQUIREMENTS Bachelor's Degree required, preferably in computer science, software/computer engineering, applied mathematics, or physics statistics. Minimum 2 years data modeling experience and working with data management systems; deep expertise in data modeling and structuring required. 2+ years experience in high volume data environments and core data engineering activities (i.e. familiarity with cloud database set up, automation scheduling using directed acyclic graph (such as Airflow) and database optimization, including but not limited to partitioning, group and sort keys, and indexes). Familiarity with a broad base of analytical methods e.g. data modeling (variable transformation and summarization) and processing (i.e. Spark, SQL Server, Hadoop/Hive, neo4j, etc). Strong attention to detail and ability to think critically/conceptually. Team oriented and flexible with proven track record in collaborating with multiple stakeholders. Effective written and verbal communication skills required. Demonstrated ability to quickly learn new technologies a must. Ability to think creatively when problem solving for new solutions and to work on numerous projects concurrently while effectively prioritizing workload. Tolerance for ambiguity required. Tools/software: Familiarity with data loading and management tools (i.e. Azure StorageBlockBlob and relational and NoSQL databases and tools such as SQL Server, MongoDB, Data Stax, etc) required. Must have programming and/or scripting experience (Python, Java) as well as experience with version control systems (Git/GitHub), continuous integration (circleCI) and other programming frameworks/approaches. Proficiency in MS and Google application suites. Must be available for overnight travel (approximately 10%) to any of Equitys major core markets, as required. Authorization to work in the US (without need for Visa sponsorship from employer) is required. REWARDS We recognize that everyone has different needs outside of work. Thats why, in addition to a competitive benefits package (medical, dental, vision and paid time off), we offer many unique benefits options to employees, like pet insurance and paid time off for community service projects. To learn more, view our Total Wellbeing page here.

Equity Residential 4.3

Chicago, IL

Chicago, IL

1001 to 5000 employees

Company - Public

Real Estate

Real Estate

$2 to $5 billion (USD)

UDR, AvalonBay Communities, Essex Property Trust

Equity Residential

IL

Data Analyst

$43K-$81K (Glassdoor est.)

Summary: The purpose of this position is to conduct the data analysis of our company data and present it to the management for decision making. The ideal candidateis passionate about data mining, explaining, and visualizing data to help business leaders and employees make better decisions and operate more effectively. Key Success Factors: Ability to work with stakeholders to understand business data needs and then translate those requirements into effective reporting, visualization and actionable insights. The technical translation of those requirements will be accomplished through direct collaboration with internal IT resources and utilization of outside IT vendors and resources when needed. Essential Functions: Daily tasks include exporting information from various systems and databases to spreadsheet and reporting software and creating detailed yet concise scheduled and ad hoc reports for end users. Gather requirements and create specs for report development. Be a problem solver working with end users to resolve technical issues as well as business reporting issues. Provide suggestions to enhance current reporting capability to meet future business needs. Status and Scope: Advanced MS Excel and VBA skills. Strong analytical thinking and problem-solving skills. High attention to detail. Ability to work under minimal supervision and use own initiative. Ability to work under pressure and deadlines. Excellent communication and collaboration skills. Ability to manage multiple priorities under a full workload with aggressive deadlines Qualifications: Bachelor’s degree in Information Systems, Business, Engineering Preferred Minimum 1-3 years’ experience with data analysis Minimum 1-3 years’ experience using SQL, access, and excel Preferred: Knowledge of NetSuite, DOMO, Adaptive, and Pedigree

Synagro 2.3

Baltimore, MD

Baltimore, MD

501 to 1000 employees

Company - Private

Research & Development

Business Services

$100 to $500 million (USD)

-1

Synagro

MD

Project Scientist

$29K-$50K (Glassdoor est.)

Project Scientist Job Details Level Entry Job Location Birmingham Office - Alabaster, AL Position Type Intern Travel Percentage Up to 50% Job Category Entry Level Description Alliance Source Testing, LLC. is currently seeking to fill a Project Scientist position (Internship). The ideal candidate for this position will be working towards a Bachelor’s Degree in Environmental Science, Mechanical Engineering, Chemical Engineering, or related Engineering degree. Candidates with environmental field testing experience are preferred but entry level applicants will be considered. This is a field testing position that involves conducting air emissions testing for clients that operate in a multitude of industrial sectors. The role provides the opportunity for training and advancement in one of the fastest growing environmental service fields in the country. Alliance is uniquely qualified to provide customers with the highest quality and most cost-effective source testing solutions available. Alliance provides stack testing services for a variety of purposes including, but not limited to, the following: Permit Compliance Demonstrations Part 60 & Part 75 CEMS Evaluations (RATA, CGA, Linearity) PM CEMS Evaluations (RCA, RRA, ACA) PM10 and PM2.5 Testing Mercury Testing Comprehensive Performance Testing Boiler/Turbine/Engine Tuning & Optimization Process/Control Evaluations & Optimization Analytical Lab Services Requirements Working towards an BS in Environmental Science, Mechanical Engineering, Chemical Engineering, or related Engineering degree. Knowledge of basic mechanical and electrical terminology and troubleshooting skills. Knowledge of and proficiency with Microsoft Office and Adobe applications. Strong work ethic with the ability to work in an outdoor environment. Willingness to climb to and work at heights up to 250 feet. Physical ability to lift objects up to 75 pounds. Must be able to pass a DOT physical. Manual dexterity with hand tools. Strong communication skills and the ability to work cohesively within a team. Willingness to travel and adjust to fluid weekly scheduling (85+% travel) Clean driving record with the ability to drive a truck and trailer. Ability to comply with frequent substance testing requirements/testing. Preferred Skills (Not Required) Qualified Source Testing Individual (QSTI) Certifications Knowledge of air testing methodologies (EPA, SW-846, NCASI, etc.). Previous field testing experience Demonstrated experience with laboratory analytical procedures, technical writing and regulations. Primary Responsibilities Equipment setup and breakdown at customer facility Testing equipment operation Test data quality control Equipment calibration and maintenance Communication with facility and regulatory personnel

Alliance Source Testing 4.0

Alabaster, AL

Decatur, AL

51 to 200 employees

Unknown

Architectural & Engineering Services

Business Services

$25 to $50 million (USD)

-1

Alliance Source Testing

AL

Data Scientist

$82K-$133K (Glassdoor est.)

For more than 50 years, Accuride International Inc. has been a pioneering world leader in the invention, design, and manufacture of innovative movement solutions. The company is headquartered in Santa Fe Springs, California and has an impressive global footprint, with offices in China, Germany, Japan, Mexico, and the UK, and more than 2,000 employees worldwide. The company has also expanded into cabinet-level RFID electronic access control (EAC) under Senseon Secure Access. Why us? Accuride is all about teamwork, mutual respect, and diversity. Our team members work together to support our market-leading products that are used by millions. You’ll be part of a team that genuinely cares about helping you succeed. And, as a global and growing business, we can truly offer a world of opportunities to expand your skills and develop your career. In return for your contributions, you’ll receive premier compensation, participation in Accuride’s bonus program, two weeks of paid vacation in your first year, medical, vision, and dental, AD&D insurance, 401(k) plan, and company-sponsored events. The Role We are looking for a Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Responsibilities Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. Develop company A/B testing framework and test model quality. Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Qualifications Strong problem-solving skills with an emphasis on product development. Experience using statistical computer languages to manipulate data and draw insights from large data sets. Experience working with and creating data architectures. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. Excellent written and verbal communication skills for coordinating across teams. A drive to learn and master new technologies and techniques. We’re looking for someone with 5-7 years of experience manipulating data sets and building statistical models, has a Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field. Experience with: Google Analytics Search Console Zendesk Chat and Support Magento Sugar CRM Google Advertising and Bing Ads Data warehouse connectors: Redshift & Google BigQuery BI connection to Tableau RDBMS connectors

Accuride International 3.6

Santa Fe Springs, Los Angeles, CA

Santa Fe Springs, CA

1001 to 5000 employees

Company - Private

Industrial Manufacturing

Manufacturing

$100 to $500 million (USD)

-1

Accuride International

Los Angeles

Data Analytics Manager

$26K-$55K (Glassdoor est.)

About You: We are looking for a dedicated and mission-oriented manager on our analytics team who will help our clients leverage data to optimize their performance and results. You will work closely with the Director of Analytics and the rest of the analytics/data science team to analyze and understand customer needs, propose and recommend solutions with input from the team, and oversee execution to bring the best solutions to life. Creative problem-solving skills, strong quantitative/technical background, proactive collaboration with customers and teammates, data-driven mindset, passion for innovation through technology, and ability to iterate quickly and deliver value in our fast-paced, agile environment are keys for success in this role. Most importantly, you must exhibit our core values: integrity, excellence, accountability and grace. You will: Play a meaningful role in helping our clients succeed by leveraging their data to make smarter decisions Work closely with clients and business stakeholders to understand use cases, objectives and KPIs they want to track/optimize using data and analytics Work closely with analytics, data science, and engineering teams to define and develop comprehensive solutions across reporting, BI, advanced analytics, statistical and AI/ML models Play multiple roles across solutions architect (define specs), developer (implement core parts of new solutions), and manager (oversee work across the team) Spec end to end solutions across data integration/pipeline, database/data warehouse architecture, data engineering, data analytics and data science. Dive deep into technical requirements with engineering team while also determining how best to package and present the data to all business stakeholders for maximum impact Implement core parts of solutions with the best design and architecture using technologies such as SQL, Python, APIs/ETLs, RDS and Redshift on AWS, and data visualization tools such as Tableau and Periscope Data Oversee implementation with the analytics team to ensure solutions are delivered as per the specs and on time Strategize how we standardize and scale our analytics and data science solutions across hundreds of clients; Work closely with engineering team to develop proprietary tools, products and services that can help deploy our analytics solutions at scale across hundreds of customers Help develop a team (direct or indirect reports) that is nimble enough to iterate at the rapid pace demanded by customers, prospects and competition Provide strong leadership and direction to direct reports. Recruit and hire talented individuals to join the team and continue to develop them to their full potential Help streamline and improve operational processes to increase efficiency and productivity Learn and apply new technologies continuously. Evaluate, recommend and implement the best technologies and tools that fit our needs Find yourself incessantly saying: signal and the noise, causation vs. correlation, optimization Have a lot of fun…it's unavoidable Work directly with and learn from the business, product, analytics and engineering leaders across the organization Exhibit our core values: integrity, excellence, accountability and grace Your experience and skills 5+ years experience with data analytics, BI, reporting, data science, or equivalent field; 2+ years experience being a senior member of an analytics or data science team with 10+ members Bachelors degree in a technical/quantitative subject such as mathematics, computer science, economics, etc. Strong math/statistics background Highly proficient with PL/SQL Experienced with BI/analytics tools like Tableau, Looker, Periscope Data/Sisense, and Excel Familiarity with databases (SQL, MySQL, Postgres) and data warehouses (AWS Redshift, Snowflake) Experience with cloud services (AWS, Azure, Google Cloud) Great communication skills to coordinate across business stakeholders and technical teams Experience with and excitement for working on fast-paced, agile teams with startup DNA Self-motivated, curious, and quick/continuous learner with a passion for innovation in data analytics/science

Full Potential Solutions 3.8

Kansas City, MO

Kansas City, MO

501 to 1000 employees

Company - Private

Staffing & Outsourcing

Business Services

Unknown / Non-Applicable

-1

Full Potential Solutions

MO

Senior Machine Learning (ML) Engineer / Data Scientist - Cyber Security Analytics

$61K-$118K (Glassdoor est.)

As the world’s leader in digital payments technology, Visa’s mission is to connect the world through the most creative, reliable and secure payment network - enabling individuals, businesses, and economies to thrive. Our advanced global processing network, VisaNet, provides secure and reliable payments around the world, and is capable of handling more than 65,000 transaction messages a second. The company’s dedication to innovation drives the rapid growth of connected commerce on any device, and fuels the dream of a cashless future for everyone, everywhere. As the world moves from analog to digital, Visa is applying our brand, products, people, network and scale to reshape the future of commerce. At Visa, your individuality fits right in. Working here gives you an opportunity to impact the world, invest in your career growth, and be part of an inclusive and diverse workplace. We are a global team of disruptors, trailblazers, innovators and risk-takers who are helping drive economic growth in even the most remote parts of the world, creatively moving the industry forward, and doing meaningful work that brings financial literacy and digital commerce to millions of unbanked and underserved consumers. You’re an Individual. We’re the team for you. Together, let’s transform the way the world pays. You are an engineer who has domain knowledge or an interest in networking, Big Data, machine learning and cybersecurity. You are ready for an exciting opportunity working hands on with the world’s most advanced cybersecurity technologies and thrive in a super dynamic environment where you are being counted on to help to defend Visa from the most advanced cyber threats. You are looking to innovate the next generation of cybersecurity technology with Petabytes of data. You will leverage cutting-edge technologies to perform statistical profiling, inference, classification, clustering and predictive analysis. As a key member of the technical team, you will translate cyber and network security related requirements into sophisticated models to help derive new insights to defend against cyber-attacks. You will be working with a large variety of data sets, cutting-edge security technologies, and world-class operation teams to create awesome analyses for cyber security. Essential Functions Analytical model design, development and implementation Performing data analysis to support cybersecurity/risk functions Security analytics product development / integration Your responsibilities include: As a key member of the security analytics team, you will work closely with other data scientists and data engineers to build, design, engineer, and develop analytical software and services that deliver security functionality and improve security efficiency and capabilities through automation. Utilize information retrieval, data analytics, and statistical modeling techniques to build new machine learning models and apply it to cybersecurity usecases. This will include the entire lifecycle including data acquisition, feature engineering, model development, training, testing, deployment, operationalization, and tuning. Support and optimize other existing analytical models/products. Assist in shaping overall direction, life-cycle management, and leadership for Information Security architecture and technology related to Visa. Communicate clean and persuasive data directly to end users, leadership, and other stakeholders, technical and non-technical. Basic Qualifications 4 years of work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD degree Preferred Qualfications Strong coding skills and experience with Python (including SciPy, NumPy, and/or PySpark) and/or Scala. Strong scripting skills with Shell script and SQL Knowledge and implementation experience with statistical and machine learning models (regression, classification, clustering, graph models, etc.) Hands-on experience with Spark and Hadoop. Knowledge & experience with API development and automation. Knowledge and experience with stream processing (spark/structured streaming) Experience with data analytics and visualization tools like Jupyter Notebook and Tableau. Knowledge and experience with enterprise networks and information tools. Work Hours Incumbent must make themselves available during core business hours Travel Requirements This position requires the incumbent to travel for work 0-5% of the time Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers, reach with hands and arms, and bend or lift up to 25 pounds. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Visa Inc. 3.7

Ashburn, VA

Foster City, CA

10000+ employees

Company - Public

IT Services

Information Technology

$10+ billion (USD)

American Express, Mastercard, Discover

Visa Inc.

VA

Data Scientist

$60K-$102K (Glassdoor est.)

Who We Are! At Maven Wave, we are relentless in hiring the industry’s top talent. Each employee is hand-picked not only for their skills, but for their personality and broad expertise. We are looking for this rare combination of talent that sets us apart in the industry. Maven Wave helps leading companies make the shift to digital and shorten the fuse to innovation. We combine the expertise of top-tier consulting with the agility of a cutting-edge technology firm. This multidisciplinary blend of skills allows us to create unique digital advantages for our clients. Maven Wave’s digital solutions are agile, mobile, rooted in analytics, and built in the cloud. Maven Wave, Google, and YOU: Drive and deliver business results with data-based insights. We are looking for a Data Scientist who will utilize their analytical, statistical, and programming skills to develop data-driven solutions to complex business challenges. Your Life As a Maven: Leverage company data to drive business solutions for enterprise clients using R and Python. Perform data collection for Data Science operations including Machine Learning. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes. Assess Model accuracy using common metrics (AUC, F1, etc.) and explain the results to client stakeholders. Your Expertise: 3-5 years of experience manipulating data sets and building statistical models. Cloud experience in a major platform, such as AWS, GCP, or Azure. Experience using Data Science languages (R, Python) to manipulate data and draw insights. Knowledge of a variety of Machine Learning and advanced analytical techniques and their real world advantages/drawbacks. Familiarity with the following software/tools: Python, C, Java, Jupyter Notebooks, SQL, ML platforms (H2O, DataRobot), distributed data (Map/Reduce, Hadoop), and visualization (Tableau, qikview) Your X-Factor: Aptitude - You have an innate capacity to transition from project to project without skipping a beat. Communication - You have excellent written and verbal communication skills for coordination across projects and teams. Impact - You are a critical thinker with an emphasis on creativity and innovation. Passion - You have the drive to succeed paired with a continuous hunger to learn. Leadership - You are trusted, empathetic, accountable, and empower others around you. Why We’re Proud To Be Mavens! Google Cloud North America Services Partner of the Year 2019, 2018 #21 Best Workplaces in Chicago, FORTUNE, 2018 Great Place To Work Certification, Great Place to Work, 2017 & 2018 Fast Fifty, Crain's Chicago Business 101 Best and Brightest Companies to Work For, National Association for Business Resources (NABR) Top Google Cloud Partner, Clutch Fastest Growing Consulting Firms in North America (#11, #37), Consulting Magazine Top IT Services Companies, Clutch Google Global Rising Star Partner of the Year Ready to Learn More? Life as a Maven Check out the Apps and Data Team See what Glassdoor has to say Real Customer Stories

Maven Wave Partners 4.4

Chicago, IL

Chicago, IL

201 to 500 employees

Company - Private

Consulting

Business Services

$50 to $100 million (USD)

-1

Maven Wave Partners

IL

Senior Data Scientist

$112K-$182K (Glassdoor est.)

Are you passionate about solving challenging problems? Do you thrive being a critical part of an elite team of like-minded people? How would you like for your next career move to take you to the next level? If any of this sounds appealing, look no further. Job Description: Novetta is seeking a Senior Data Scientist to develop innovative solutions for customers and internal product teams. We look to rapidly prototype solutions and deploy the most promising of them. We identify and leverage the latest techniques (fast.ai is a team favorite) so that our customers can stay one step ahead. On every project you'll learn something new (and likely teach us something as well). Responsibilities include: Develop solutions spanning multiple subject areas, from NLP to Image and Video. Maintain awareness of state-of-the-art machine learning and techniques, methods and platforms, including commercial and open source. Implement, configure and test machine learning and deep learning libraries and platforms (e.g. fast.ai, TensorFlow, Keras, XGBoost, LightGBM). Test solutions on AWS using services such as SageMaker, EC2, and Snowball Edge. Write blog posts and presentations that clearly communicate complex machine learning concepts to both technical and non-technical audiences. Contribute to visually-appealing, web-enabled prototype applications that illustrate relevant machine learning capabilities. Basic Qualifications: Experience with Python (2+ years). Experience with machine learning or statistics (2+ years). Ability to work both independently and collaboratively. High levels of curiosity, creativity, and problem-solving capabilities. Strong written and verbal communication skills. Comfortable navigating the command line. Desired Skills: Research experience in machine learning specific to natural language processing, computer vision, or deep learning. Experience with managing data and creating algorithms using AWS. Experience with R, Java, or other programming languages. Security Clearance: Active TS/SCI with polygraph required. So, what does Novetta do? We focus on three core areas: Cyber, Entity, and Multi-Int Analytics. Our products are focused on processing and analyzing vast amounts of data in these core areas. Our services are focused on helping our customers move from complexity to clarity. At Novetta, we bridge the gap between what our customers think they can do and what they aspire to achieve. Our culture is shaped by a commitment to our Core Values: Integrity: We hold ourselves accountable to the highest standards of integrity and ethics. Customer Mission Success: Customer mission success drives our daily effortswe strive always to exceed customer expectations and focus on mission success beyond contractual commitments. Employee Focus: We value our employees and demonstrate our commitment to them by providing clear communications, outstanding benefits, career development, and opportunities to work on problems and technical challenges of national significance. Innovation: We believe that innovation is critical to our success that discovering new and more effective ways to achieve customer mission success is what makes us a great company. GET A REFERRAL BONUS FOR THE GREAT PEOPLE YOU KNOW! With our amazing referral program, you could be eligible to earn outstanding rewards for referring qualified new hires to Novetta. Novetta is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

Novetta 4.0

Herndon, VA

Mc Lean, VA

501 to 1000 employees

Company - Private

Enterprise Software & Network Solutions

Information Technology

$100 to $500 million (USD)

Leidos, CACI International, Booz Allen Hamilton

Novetta

VA

Data Scientist

$64K-$106K (Glassdoor est.)

How will your role impact First Command? The Data Scientist I will generate client insights that impact decision making in the enterprise. As part of the Enterprise Data & Analytics Team, the Data Scientist I will have the opportunity to build data science capabilities based on the Client Experience vision, Enterprise Data and Analytics strategy and research outcomes. The Data Scientist I will use analytics tools, frameworks, critical thinking, and problem-solving skills to partner with the First Command Marketing department to provide client data insights, trends and prediction models. The ideal candidate is client-focused and has a collaborative working style that fosters innovation within the organization. This individual will be required to think holistically as they work with multiple groups in First Command. What will you be doing? Collaborate with marketing, IT, design leaders, and other business stakeholders using qualitative and quantitative research techniques to define objectives and form hypotheses; Apply a variety of research methodologies to discover, learn and validate market opportunities to inform strategy and user experience; Develop strategies with Director of Research and VP of Client Experience to foster a client-centric culture and create new opportunities for First Command; Work with Data Governance and Enterprise Architecture to design data-driven solutions based on research outcomes; Leverage statistical models and predictive analytics to forecast business results; Develop and implement analytics solutions to visualize marketing insights using structured and unstructured data. What skills/qualifications do you need? Education BA required; MBA or MS preferred. Required Qualifications 5+ years of applied experience in analytics, business analysis or comparable positions that handle large/complex data sets, developing metrics, and fostering business partner relationships Excellent written communication, presentation skills, and data story telling Proactive in identifying use cases based on business needs and forming hypotheses Ability to quickly adapt to changing priorities and generating innovative solutions Advanced in SQL and T-SQL Proficient in Machine Learning and modeling techniques using Python, R, and/or Scala Proficient in conceptual and logical data design Proficient in data science and visualization tools such as SPSS, SAS, Tableau, PowerBI Applied experience in analyzing unstructured data sets such as social media, emails, pictures, videos, voice and sensor data, client surveys and feedback Applied experience using algorithms and libraries for data science Preferred Qualifications Financial services industry experience or other highly regulated industry experience a plus Certifications related to Data Analytics a plus Applied experience in Agile, SAFe, Scrum or Lean Six Sigma Applied experience using statistical methodology and programming techniques to develop analytic solutions Applied experience building analytic solutions for unstructured data Familiarity with data mapping and lineage strategies Familiarity with data management practices and data governance process Familiarity with natural language processing and deep learning techniques a plus Disclaimer The information of this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job, which may vary on the department or the assignment. The actual essential duties, responsibilities and qualifications may vary by department, reporting structure and other business needs. No inference should be drawn that a specific job duty, responsibility or qualification is non-essential by its absence from this description. #LI-NC1 Required Skills Required Experience Job Location Fort Worth, US-TX

First Command Financial Services, Inc. 3.2

Fort Worth, TX

Fort Worth, TX

1001 to 5000 employees

Company - Private

Brokerage Services

Finance

$100 to $500 million (USD)

USAA, Navy Federal Credit Union, Raymond James Financial

First Command Financial Services, Inc.

TX

Associate Scientist

$51K-$112K (Glassdoor est.)

Requisition Number: VALA4950 Job Title: Associate Scientist Full Time: Full Time - Regular Shift: 1st Shift Area of Interest: Science & Technology Location: Valencia A-VAL-A Job Description: Associate Scientist, Product Development Valencia, CA HELP US BRING THE GIFT OF HEALTH TO LIFE. Working at Pharmavite is an experience like no other. With a focus on complete nutrition for all, each endeavor is urgent and everyday counts. You'll have the opportunity to work on the #1 selling national vitamin and supplement brand, Nature Made, as well as an exciting portfolio of other products that are shaping the future of the healthy living industry. Consumer-driven innovation, high quality products and a promising portfolio, all driven by a team with a shared sense of purpose -- that's Pharmavite. Join us to bring the gift of health to life. The Associate Scientist, Product Development is responsible for all aspects of the formulation, product/process development, scale up and commercialization of dietary supplement dosage forms. The Associate Scientist develops formulas to support stability, commercialization, and clinical studies for new product development. Associate Scientist, Product Development reports to the Manager, Product Development. Critical contributions this role is counted on to deliver include: Developing formulations and processes to support new product launches and meeting deliverables in a timely manner. Coordinating and executing benchtop, pilot, manufacturing scale-up and verification batches. Prepares samples for stability, consumer, and clinical testing while reviewing and approving protocols. Working closely with technical operations and providing guidance for successful transfer and commercialization of formulas. Effectively communicate in cross-functional team environment serving as a core member or scientific SME in solving formulation/process issues. The ideal candidate is passionate about product development with demonstrated ability to drive multiple projects independently and within teams. You are highly process oriented and capable of making informed decisions based on knowledge and data. You'll be most successful in this role if you have: Comprehensive knowledge and practical experience with product/process development. Demonstrated experience processing laboratory techniques and regulatory requirements. Knowledgeable foundation in chemistry, mathematics, pharmaceutics and/or food science. Ability to communicate and influence effectively in a cross-functional team environment with Marketing and Operations to establish strong rapport. Demonstrates critical thinking and problem solve skills. It's an exciting time in Pharmavite' s history. After 45 years of leading the healthy living industry with award-winning vitamins and supplements, the company has experienced great success and has gained the trust of consumers, healthcare professionals, and retailers alike. But there's more growth ahead of us than behind us, and for our employees this translates into opportunity. Our rapidly changing business enables employees to take on new challenges and transform Pharmavite for the future. In order to take on these challenges, you'll need to have: Four-year college degree required in Chemistry, Pharmacy, Food Science, Chemical Engineering or other relevant science degree Bachelor's degree requires a minimum of 4 years of relevant experience Master's degree requires a minimum of 2 years of relevant experience PhD degree requires a minimum of 1 year of relevant experience Product Development/formulation experience Excellent communication skills, written and verbal OUR OFFER Here, career paths aren't predefined, and bureaucratic limitations don't exist -- you can grow, learn from industry pioneers, and develop the way you want to. Pharmavite is investing more in the development of our team -- to help us deliver on our purpose and help you achieve your career aspirations. Our environment is geared to fuel curiosity, encourage experimentation, and generate learning as this is the way we develop ourselves and our organization. Pharmavite is committed to meeting the needs of our employees and their families with a Total Rewards package that's as comprehensive as the vitamins and supplements we deliver to consumers. With competitive compensation programs and standout benefits, we provide employees with optimal health and well-being -- as well as peace of mind. These rewards -- plus our new recognition program -- ensure employees feel supported both at work and home. Join Us Visit Pharmavite.com/careers to learn more about our mission and discover an opportunity that's right for you. Health and wellness begin with us. Pharmavite is an equal employment and affirmative action employer F/M/Disability/Vet/Sexual Orientation/Gender Identity. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to their protected veteran or disabled status, or any protected status. We do not discriminate in employment based on race, color, religion, age, sex, sexual orientation, gender identity, national origin, or any other basis covered by applicable law. All employment is decided based on qualifications, merit, and business need. Disclaimer The above information on this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications of employees assigned to this job.

Pharmavite 2.9

Valencia, CA

West Hills, CA

1001 to 5000 employees

Company - Private

Consumer Products Manufacturing

Manufacturing

$1 to $2 billion (USD)

The Nature's Bounty Co., Schiff Nutrition International

Pharmavite

CA

Scientist 2, QC Viral Vector

$113K-$223K (Glassdoor est.)

BioMarin is the world leader in delivering therapeutics that provide meaningful advances to patients who live with serious and life-threatening rare genetic diseases. We target diseases that lack effective therapies and affect relatively small numbers of patients, many of whom are children. These conditions are often inherited, difficult to diagnose, progressively debilitating and have few, if any, treatment options. BioMarin will continue to focus on advancing therapies that are the first or best of their kind. BioMarins Technical Operations group is responsible for creating our drugs for use in clinical trials and for scaling production of those drugs for the commercial market. These engineers, technicians, scientists and support staff build and maintain BioMarins cutting-edge manufacturing processes and sites, provide quality assurance and quality control to ensure we meet regulatory standards, and procure the needed goods and services to support manufacturing and coordinating the worldwide movement of our drugs to patients. Come join our team and make a meaningful impact on patients lives. Scientist 2,Quality Control (QC) Viral Vector General Description: The Scientist 2 is a member of the Quality Control team and is responsible for providing solid technical leadership and guidance relative to the performance, validation, optimization, development, troubleshooting, and transfer of molecular biological, biochemical and chemical evaluations for drug substance and drug product. It is expected that he/she will work independently under minimal direction while completing work assignments from semi-routine to complex in nature delivering work product on time. He/she is expected to provide strong cGMP knowledge and guidance to team members and will escalate issues as needed. The ability to recognize deviations from the accepted practice/SOPs through foundational technical expertise and compliance is a requirement. Demonstrated ability to work effectively in a quality control testing environment and work with external contract testing organizations (CTOs) are necessary for the position. Good written and verbal communication skills are essential. Specific Responsibilities: Lead efforts to perform laboratory testing of BioMarin drug products and APIs Analyze, trend, and review quality control release and stability testing data of BioMarins pharmaceutical products at Contract Testing Laboratories (CTLs) and/or Contract Manufacturing Organizations (CMOs) Contribute to data review for several methods. Support or lead activities for Pre-Licensing Approval Inspection (PAI) readiness Support or lead the preparation of phase-appropriate stability protocols and stability reports for API and drug product in accordance with regulatory requirements and as needed to support clinical trials and regulatory submissions . Lead investigations conducted at CMO/CTL and review and approve out-of-specification (OOS), out-of-trend (OOT) and out-of-expectation (OOE) testing results, deviations. Support or lead the transfer of analytical methods to CTLs for gene therapy products. These methods may include HPLC, ELISA, and other methods. Experience running and trouble-shooting cell-based methods is highly preferred. Champion continuous improvement in quality systems (procedures and systems) to improve organizational effectiveness, quality assurance compliance, and regulatory and other requirements (cGMP, ICH). Work collaboratively with manufacturing/supply chain, quality assurance, regulatory, and project management to ensure timely availability of lot release, stability data, and other required analytical data. Qualifications / Requirements: Relevant experience in a Quality Control function at an Associate level is required. Experience in analytical development for biologics is required. Experience with analytical systems (LIMS, laboratory control systems, stability/release systems) is required. Functioned as audit support during previous inspections is preferred. Thorough understanding of regulatory agency (FDA) requirement and international guidance (ICH) for drug substance and product under GMP is required as applied to biologics. Analytical development experience developing, qualifying, validating, and transfer of chromatographic methods (HPLC, SEC, CZE), spectroscopic methods (FTIR. UV), and other physical and biochemical methods to analyze biologic or protein drug substances and drug products is strongly preferred. Demonstrated experience with development, optimization, qualification, and validation of ELISA or other immunoassays for potency, identity analysis for drug substance or product release is preferred. Demonstrated experience with development, qualification, and validation of tests for identity, purity, potency for API and drug product (raw materials, in-process, release) and/or excipients is required. Ability to effectively prioritize and deliver on tight timelines in a fast-paced environment. Excellent written and verbal communication skills. Experience in analytical data systems (Empower, LIMS) Accuracy and attention to detail. Excellent cross-functional team participation skills. Solid problem-solving abilities. Ability to be flexible with changing work needs Interacts with other functional leaders, project management and QC/AD team personnel Interacts with Contract Testing Laboratories, Contract Manufacturing Organizations, consultants and external partners Education: Scientist II Leveling criteria delineated below Sr. Scientist is the below with an additional 2+ years in industry: PhD in Molecular Biology, Genetics, Chemistry, Biochemistry, Analytical Chemistry, or a related field (with 3 - 6 years professional experience). MS in Molecular Biology, Genetics, Chemistry, Biochemistry, Analytical Chemistry, or a related field (with 6 8 years professional experience). BS in Molecular Biology, Genetics, Chemistry, Biochemistry, Analytical Chemistry, or a related field (with 8-12 years professional experience). We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

BioMarin Pharmaceutical 3.8

Novato, CA

San Rafael, CA

1001 to 5000 employees

Company - Public

Biotech & Pharmaceuticals

Biotech & Pharmaceuticals

$500 million to $1 billion (USD)

Genentech, Ultragenyx Pharmaceutical, Gilead Sciences

BioMarin Pharmaceutical

CA

Machine Learning Engineer

$72K-$129K (Glassdoor est.)

Machine Learning Engineer Aurora, COApply Now Are you interested in supporting the ever-changing technology needs of the U.S. Government by providing services that support defense initiatives? Come look at Stratagem, where we help the U.S. Government solve some of the most challenging and interesting problems in the world. Stratagem is hiring motivated, creative, and technically-minded individuals with a passion and skill for building state-of-the-art technologies. What is most important to us at Stratagem is candidates have exceptional problem-solving skills, are creative out-of-the-box thinkers, and are comfortable with quickly learning, evaluating, and deploying new technologies. Successful employees are self-starters, excellent communicators, and positive individuals with a passion for delivering the highest quality products. ** TS – SSBI REQUIRED** ** US CITIZENSHIP REQUIRED ** This is a Software Engineer position in Aurora, CO, and we are not hiring your average Java Joe’s. We are looking for the Macchiato with a double shot. You will be given substantial feature ownership, and we'll expect you to contribute product ideas as well as code. Your ideas will help shape the future of Stratagem. Responsibilities & Skills Our ideal candidate is a programming expert with a passion for machine learning. We need someone with prior experience designing and implementing modern machine-learning and computer-vision concepts and algorithms, and who stays up to date on all best-practice standards. As a software engineer, your responsibilities include: Investigating and solving exciting and difficult challenges in image recognition, classification, content analysis, and deep learning Integrating with a diverse team to deliver in an agile-like manner Developing new algorithms Contributing to building aspects of a web-accessible system Prototyping ideas/concepts to prove a solution quickly Your core skills/experience include: IAT Level II or III certification (i.e. Security+ or CISSP or CASP) within 90 days of hire Expertise in one of the following: Java, Python, C++, etc. Proficiency with containerization - Docker preferred Proficiency with cloud Infrastructure - AWS or C2S preferred Proficiency with PostgreSQL – or similar GIS database concepts Experience with Hadoop, Spark, etc. Experience developing and implementing Image Classification and Content Analysis Experience with neural networks, K-means, etc. Experience working with deep learning frameworks, such as Caffe, TensorFlow and Theano 3-15 years’ experience You are the proud owner of a TS/SCI SSBI clearance Bonus points if you have experience in any of the following: DevSecOps experience In-depth understanding of modern best-practices, such as Kaggle competition winners Comfortable with statistics and data science concepts Mission Management SIGINT experience About you You are an exceptional problem solver, a quick learner, and a creative out-of-the-box thinker who values team work. You are comfortable with the pace and ever-changing requirements of a small development company while maintaining a healthy work life balance. Who is Stratagem Stratagem is a small and fast-growing technology company built around the idea that we can make a lasting impact for our customers and employees. We believe in a culture of innovation, fun, empowerment, and family. We want you to learn new skills so you can become more fulfilled in both your personal and professional life. At Stratagem, our goal is to make our company the last company you work for!

Stratagem Group 4.3

Aurora, CO

Aurora, CO

1 to 50 employees

Company - Private

Aerospace & Defense

Aerospace & Defense

Unknown / Non-Applicable

-1

Stratagem Group

CO

Data Scientist/ML Engineer

$71K-$123K (Glassdoor est.)

Data Scientist/ML Engineer Apply Now Become part of the team Do you crave a collaborative organization where your contributions will make a strong impact? Do you want to develop products in the latest cloud-based technologies building ecosystems rather than creating client-facing slides? Are you ready to roll up your sleeves and embrace a work culture that’s insanely passionate and committed to bringing the latest advanced analytics to life? The Data Science & AI group at PA Consulting is your dream community. As part of the fastest growing innovation practice within PA Consulting, you will work with the latest advanced analytics, machine learning, and big data technologies to generate actionable insights from data and develop innovative data products. We focus on Life Science, Healthcare, Energy & Utilities and CPG sectors and work with various data sets, from social media to public health data. Our domain focus is broad and covers everything from computer vision and NLP, recommender engines, classification and clustering algorithms, linear programming and optimization. What we're looking for • 2-5 years professional experience as a data scientist, software engineer or statistical modeler • Master’s degree from top tier university in Computer Science, Statistics, Economics, Physics, Engineering, Mathematics, etc. • Expertise in machine learning algorithms and methods • Strong understanding and application of statistical methods • Experience writing production level code in one of the following: Python, Java, C++, C Preferred: • Experience working with database systems (e.g. SQL, NoSQL, MongoDB, Postgres, ect.) • Experience working with big data distributed programming languages, and ecosystems (e.g. S3, EC2, Hadoop/MapReduce, Pig, Hive, Spark, etc) • Experience building scalable data pipelines and with data engineering/ feature engineering. • Webscraping leveraging Beautifulsoup, Selenium, Scrapy, etc • Experience with front end (UI), HTML5, JavaScript, CSS, R Shiny, Tableau • Experience leveraging ML techniques to build recommender systems, NLP engines, computer vision algorithms, etc.. Benefits We offer a compelling benefits package that is competitive with the market and designed to reward you for achieving success. About us We’re an innovation and transformation consultancy that believes in the power of ingenuity to build a positive-human future in a technology-driven world. Our diverse teams of experts combine innovative thinking with breakthrough-technologies to progress further, faster. With a global network of FTSE 100 and Fortune 500 clients, we’ll offer you unrivalled opportunities for growth and the freedom to excel. Combining strategies, technologies and innovation, we turn complexity to opportunity and deliver enduring results, enabling you to build a lasting career. Diversity Statement We believe that diversity makes us a stronger firm and look to employ people with different ideas, styles and skill sets. This diversity stimulates a rich, creative environment – one in which our people develop, and our clients enjoy enduring results. We’re committed to recruiting, promoting and rewarding our people solely based on their ability to contribute to PA’s goals, without regard to their sex, race, disability, religion, national origin, ethnicity, sexual orientation, age or marital status. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. VEVRAA Federal Contractor. Country United States Location New York Contract Type Permanent Working Pattern Full Time Become part of the team Do you crave a collaborative organization where your contributions will make a strong impact? Do you want to develop products in the latest cloud-based technologies building ecosystems rather than creating client-facing slides? Are you ready to roll up your sleeves and embrace a work culture that’s insanely passionate and committed to bringing the latest advanced analytics to life? The Data Science & AI group at PA Consulting is your dream community. As part of the fastest growing innovation practice within PA Consulting, you will work with the latest advanced analytics, machine learning, and big data technologies to generate actionable insights from data and develop innovative data products. We focus on Life Science, Healthcare, Energy & Utilities and CPG sectors and work with various data sets, from social media to public health data. Our domain focus is broad and covers everything from computer vision and NLP, recommender engines, classification and clustering algorithms, linear programming and optimization. What we're looking for • 2-5 years professional experience as a data scientist, software engineer or statistical modeler • Master’s degree from top tier university in Computer Science, Statistics, Economics, Physics, Engineering, Mathematics, etc. • Expertise in machine learning algorithms and methods • Strong understanding and application of statistical methods • Experience writing production level code in one of the following: Python, Java, C++, C Preferred: • Experience working with database systems (e.g. SQL, NoSQL, MongoDB, Postgres, ect.) • Experience working with big data distributed programming languages, and ecosystems (e.g. S3, EC2, Hadoop/MapReduce, Pig, Hive, Spark, etc) • Experience building scalable data pipelines and with data engineering/ feature engineering. • Webscraping leveraging Beautifulsoup, Selenium, Scrapy, etc • Experience with front end (UI), HTML5, JavaScript, CSS, R Shiny, Tableau • Experience leveraging ML techniques to build recommender systems, NLP engines, computer vision algorithms, etc.. Benefits We offer a compelling benefits package that is competitive with the market and designed to reward you for achieving success. About us We’re an innovation and transformation consultancy that believes in the power of ingenuity to build a positive-human future in a technology-driven world. Our diverse teams of experts combine innovative thinking with breakthrough-technologies to progress further, faster. With a global network of FTSE 100 and Fortune 500 clients, we’ll offer you unrivalled opportunities for growth and the freedom to excel. Combining strategies, technologies and innovation, we turn complexity to opportunity and deliver enduring results, enabling you to build a lasting career. Diversity Statement We believe that diversity makes us a stronger firm and look to employ people with different ideas, styles and skill sets. This diversity stimulates a rich, creative environment – one in which our people develop, and our clients enjoy enduring results. We’re committed to recruiting, promoting and rewarding our people solely based on their ability to contribute to PA’s goals, without regard to their sex, race, disability, religion, national origin, ethnicity, sexual orientation, age or marital status. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. VEVRAA Federal Contractor. Back to list Send job to a friend Print this page Apply Now

PA Consulting 3.4

New York, NY

London, United Kingdom

1001 to 5000 employees

Company - Private

Consulting

Business Services

$100 to $500 million (USD)

McKinsey & Company, Accenture, Deloitte

PA Consulting

NY

Data Scientist

$64K-$106K (Glassdoor est.)

Secure our Nation, Ignite your Future Summary The successful candidate will possess a diverse range of data-focused skills and experience, both technical and analytical. They will have a strong desire and capability for problem solving, data analysis and troubleshooting, analytical thinking, and experimentation. Duties, Tasks & Responsibilities Working with large, complex, and disparate data sets Designing and implementing innovative ways to analyze and exploit the Sponsors data holdings Researching and reporting on a wide variety of Sponsor inquiries Raising proactive inquiries to the Sponsor based on observations and proposed data analysis/exploitation Solving difficult, non-routine problems by applying advanced analytical methodologies, and improving analytic methodologies Developing custom searches Communicating and coordinating with internal and external partners as needed Required Experience, Skills, & Technologies Thorough knowledge of appropriate analytic tools and methodologies in one or more of the following: Applied mathematics (e.g. probability and statistics, formal modeling, computational social sciences) Computer programming (e.g. programming languages, math/statistics packages, computer science, machine learning, scientific computing) Ability to code or script in one or more general programming language Experience with and theoretical understanding of algorithms for classification, regression, clustering, and anomaly detection Knowledge of relational databases, including SQL and large-scale distributed systems (e.g. Hadoop) Expertise with statistical data analysis (e.g. linear models, multivariate analysis, stochastic models, sampling methods) Demonstrated effectiveness in collecting information and accurately representing/visualizing it to non-technical third parties TS/SCI with Polygraph Desired Experience, Skills & Technologies Previous investigative experience, using a combination of technical and analytic skills #LI-SS2 ManTech International Corporation, as well as its subsidiaries proactively fulfills its role as an equal opportunity employer. We do not discriminate against any employee or applicant for employment because of race, color, sex, religion, age, sexual orientation, gender identity and expression, national origin, marital status, physical or mental disability, status as a Disabled Veteran, Recently Separated Veteran, Active Duty Wartime or Campaign Badge Veteran, Armed Forces Services Medal, or any other characteristic protected by law. If you require a reasonable accommodation to apply for a position with ManTech through its online applicant system, please contact ManTech's Corporate EEO Department at (703) 218-6000. ManTech is an affirmative action/equal opportunity employer - minorities, females, disabled and protected veterans are urged to apply. ManTech's utilization of any external recruitment or job placement agency is predicated upon its full compliance with our equal opportunity/affirmative action policies. ManTech does not accept resumes from unsolicited recruiting firms. We pay no fees for unsolicited services. If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access http://www.mantech.com/careers/Pages/careers.aspx as a result of your disability. To request an accommodation please click careers@mantech.com and provide your name and contact information.

ManTech 4.1

Chantilly, VA

Herndon, VA

5001 to 10000 employees

Company - Public

Research & Development

Business Services

$1 to $2 billion (USD)

-1

ManTech

VA

Customer Data Scientist

$118K-$189K (Glassdoor est.)

Company Overview H2O.ai is the open source leader in AI with a mission to democratize AI for everyone. H2O.ai is transforming the use of AI with software with its category-creating visionary open source machine learning platform, H2O. More than 18,000 companies use open-source H2O in mission-critical use cases for Finance, Insurance, Healthcare, Retail, Telco, Sales and Marketing. H2O Driverless AI uses "AI to do AI" in order to provide an easier, faster and cost-effective means of implementing data science. H2O.ai partners with leading technology companies such as NVIDIA, IBM, AWS, Intel, Microsoft Azure and Google Cloud Platform and is proud of its growing customer base which includes Capital One, Progressive Insurance, Comcast, Walgreens and MarketAxess. For more information and to learn more about how H2O.ai is driving an AI Transformation, visit www.h2o.ai. Job Summary: Can you code proficiently in at least one language used by data scientists and/or data engineers, and does it excite you to learn more? Are you skilled at predictive modeling? Do you view communication skills just as important as technical ones? Can you listen to the needs of your peers and customers and adapt where need be? Do you have a competitive drive to be the best you can be? Can you finish what you start? Can you own assignments given to you? If the answer is "yes" to these questions, you potentially could be an excellent fit to join the team of customer engineering makers at H2O.ai. We deliver world-class solution experiences for our customers and drive revenue for our organization. Some of the technical projects you will work on include: training advanced machine learning models at scale in distributed environments, influencing next generation data science tools and data products, and pioneering ideas and products in new areas, such as machine learning interpretability, automatic machine learning, model management, deployment pipelines, and GPU computing. Responsibilities and Duties: As a Customer Data Scientist, you will be part of Customer Success team working closely with sales directors to: Problem solve and assess technical problems, determine solutions, and work with internal engineering and customer teams to resolve them. Demonstrate ML solutions with engaging storytelling and technical accuracy. Architect, Design, and Deliver end to end machine learning workflows and systems from data ingestion to model deployment. Provide best practices and guidance to customers on machine learning workflows and systems from data ingestion to model deployment. Own account-related technical activities and relationships. Translate business use cases and requirements into technical ones. Communicate effectively to a diverse audience, including: engineers, business people, and executives. Audiences will be large and small, and interactions will be in-person and online. Drive field feedback back into product development and be very hands-on for all technical activities. Qualifications and Skills Bachelor's degree in engineering, computer science, mathematics or a related field. Graduate degree is a plus. 2+ years experience with performing hands on Data Science and Machine Learning Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Visualization skills using R, Python or other languages and frameworks. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. 2+ years experience using statistical computer languages (R, Python, etc.) to manipulate data and draw insights from large data sets. 2+ year working with data in Hadoop and /or Spark ecosystem Desirable: Maker mindset, coachable, and have an urge to learn/master new technologies H2O.ai Perks! Flexible work hours and time off. H2O.ai is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, sexual orientation, gender identity, disability or veteran status. Powered by JazzHR

h2o.ai 4.3

Mountain View, CA

Mountain View, CA

201 to 500 employees

Company - Private

Enterprise Software & Network Solutions

Information Technology

Unknown / Non-Applicable

-1

h2o.ai

CA

Data Engineer

Employer Provided Salary:$120K-$145K

Location: Tampa, FL Title: Data Engineer TS/SCI and Security+ needed Data Engineer: Will build data pipelines that handle the ingestion, manipulation, and storage of a variety of data sources. This engineer will architect distributed systems that will process, store, and expose large volumes of data in an efficient manner. He/she will design and customize data pipelines using tools such as NiFi and manipulate data in a variety of formats. This resource will also structure and manage very large (1+ PB) data sets in architectures such as Elasticsearch or Object Storage systems and will perform web-scraping and other ETL techniques. (NiFi and Elasticsearch skills are most critical.)

Gridiron IT 5.0

Tampa, FL

Reston, VA

51 to 200 employees

Company - Private

IT Services

Information Technology

Unknown / Non-Applicable

-1

Gridiron IT

FL

Data Engineer

$80K-$120K (Glassdoor est.)

As a Data Engineer at Productive Edge, you will be a member of a high-performing team delivering software solutions to clients. Your days will normally consist of the following activities: Provide technical analysis, design, development, and enhancement. Provide process, data and object modeling in a variety of application and database environments. Provide database design, development, and enhancement, as well as management and coordination of changes to existing applications. To excel in these daily activities, a Data Engineer at Productive Edge would make use of the following experience and skills: 2+ years hands-on design and development experience with the Java platform. 2+ years hands-on experience with object-oriented design and development, including strong working knowledge and experience with various architectural and design patterns. Strong understanding of building and maintaining big data pipelines. Hands on experience with Spark, including leveraging streaming data & analytics. Hands on Cloud experience, preferably with Microsoft Azure and/or Google Cloud Platform (GCP). Knowledge or experience with Machine Learning is a plus! Understanding of multiple core technologies and leading open source frameworks of the JEE platform, including Hibernate, Spring, etc. Knowledge of SQL and NoSql databases with diverse working experience. Successful completion of projects working in an Agile environment. Experience working effectively with offshore developers. Experienced in problem-solving, and able to follow a methodical implementation process. Excellent interpersonal and organizational skills, ability to handle diverse situations, multiple projects, and rapidly changing priorities. Bachelor’s Degree in Computer Science, or equivalent work experience. About Productive Edge Productive Edge is a Chicago-based leader in digital transformation. As digital business consultants, we focus on digital strategy, customer experience, operations improvement, and product & services enablement. How do we do this? Through launching solutions for Data and Artificial Intelligence (AI), Intelligent Automation (IA), Internet of Things (IoT), and Cloud Native Solutions. Sounds fun, right? It gets better...and that’s where you come in! Productive Edge offers the dynamic opportunity to use your talents in a progressive, highly-collaborative environment that values innovation and creativity. We are a culture that stays on the cusp of today’s developing and emerging technologies. Our passion, ingenuity, and dedication sets us apart from other consultants (as does our modern work atmosphere with fun outings, foosball, stocked fridge and other activities). Because we work with and develop solutions for some of the world’s most exciting brands, we are actively searching for individuals who are ready to change the way the world operates. And if that’s not enough, Productive Edge has been featured as one of Chicago’s 101 Best and Brightest Companies to Work For, included in Crain’s Fast 50, and is a regular on Inc. 5000.

Productive Edge 4.3

Chicago, IL

Chicago, IL

51 to 200 employees

Company - Private

Computer Hardware & Software

Information Technology

$10 to $25 million (USD)

Numerator, Rise Interactive, Salom

Productive Edge

IL

Sr. Data Scientist

$80K-$130K (Glassdoor est.)

The position Were seeking an entrepreneurial and innovative Sr. Data Scientist to join our Analytics team! Evolve has been diligently working on creating a pricing algorithm built to adjust nightly rates based on live market behavior. This tool will scale with our business as we grow to be one of the largest in the industry while ensuring maximum profitability for each of our individual owners. Our dream applicant has built high performing pricing models, has experience utilizing machine learning to solve complex data problems, and is hungry to make a difference. This is your opportunity to create an industry-leading pricing strategy and be a part of the spotlight as you pioneer automated intellectual pricing in the Vacation Rental Management industry. Were a tight-knit team of Data Scientists and BI professionals that learn together and are constantly thinking about how machine learning, analytics, and visualization can make an impact on our business. What youll get to do In collaboration with revenue management and engineering teams, own the development, deployment and optimization of a vacation rental pricing model Utilize machine learning, statistical methods, and experimental design techniques to create a highly performant algorithm Maintain model explainability and present new models in a way that builds trust and understanding across stakeholders Monitor model performance and identify opportunities for improvement Incorporate a test and learn mentality into model development Implement creative solutions to price properties in smaller markets A little about you Bachelors degree in Computer Science, Statistics, or related quantitative field, Masters or PhD preferred 2+ years experience price forecasting for heterogeneous inventory dealing with seasonal and market shifts Proven track record of your deployed models making a business impact and getting better over time. Programming experience with Python and SQL, ideally in a full-stack machine learning setting Experience with pricing in the travel industry a plus Ability to work in a collaborative environment with a variety of stakeholders A little about us Evolve makes vacation rental easy for everyone. Our fresh approach to vacation rental management offers homeowners a better way to generate rental income and provides travelers with the industry's best booking experience. Thanks to a strong work ethic and an unapologetic passion for hospitality, we now support over 10,000 properties in over 500 markets across North America. We enjoy earning each guest and owner's business - all while having some fun along the way. Values mean more to Evolve than just bullets on a page. They drive our daily decisions and impact how we work as a hospitality company. Which value sounds the most like you? Earn It Build Loyalty One Interaction at a Time Communicate Often, Honestly & Directly Embrace Change Stay Hungry & Humble Care Be Efficient Take Risks Learn Every Day Have Some Fun Along the Way Evolve is an equal opportunity employer. We believe that a diverse work environment is a successful work environment so all qualified candidates will be considered for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Powered by JazzHR

Evolve Vacation Rental 3.7

Denver, CO

Denver, CO

201 to 500 employees

Company - Private

Travel Agencies

Travel & Tourism

Unknown / Non-Applicable

-1

Evolve Vacation Rental

CO

Data Engineer 4 - Contract

$59K-$115K (Glassdoor est.)

Purposes As a member of the Business Intelligence team, this individual works with multiple departments throughout the organization to take their data and transform it into information that will allow them to make better decisions. The data engineer is responsible for gathering requirements, design, creation and support of the data warehouse. A key responsibility of this individual will be to help build new data and anlytics solutions in the cloud. This individual works with divine guidance to provide or support technology that furthers the mission of the Church and reflects the eternal impact of the gospel. Responsibilities Possess and utilize comprehensive knowledge, specific to the data field, to complete significant assignments Help define standards as we move data and analytics solutions to the cloud including AWS and Azure Maintain a strong understanding of the supported business processes Gather and document requirements for the data warehouse both on premise and in the cloud Build data integrations from multiple system into cloud based storage and anlayitc platforms Forecast, analyze data and trends, and create reports that highlight areas in need of performance improvement Interact with customers as a technical resource to troubleshoot problems with the delivered BI solutions Maintain production documentation Qualifications Education: Bachelor's degree in related field or equivalent professional experience. Master’s degree preferred. Work Experience: 4+ years of data warehouse experience Experience with cloud technologies, including AWS and Azure Proven ability mentor and train peers and system users Experience with data analysis and report design/development Professional experience in presentation/interface creation Demonstrated Skills & Abilities: Proven leadership ability Exceptional communicator; both written and verbal Outstanding troubleshooter Proven ability to resolve complex problems under pressure Comprehensive knowledge of engineering best practices Strong operational understanding and discipline Ability to resolve security issues and requests and implement improvements Experience with cloud technologies, including AWS and Azure Ability to quickly learn new tools and technology Advanced problem solving, analytical, and diagnostic skills Excellent documentation, presentation, and communication skills Highly skilled in developing ETL code, can manage the ingestion and cleansing of large sets of structured and unstructured data This job operates in a professional office environment To successfully perform the essential functions of the job there may be physical requirements which need to be met such as sitting for long periods of time and using computer monitors/equipment Worthiness Qualification Must be a member of The Church of Jesus Christ of Latter-day Saints and currently temple worthy. Posting Notice/More Info. Please Note: All positions are subject to close without notice. Find out more about the many benefits of Church Employment at http://careers.churchofjesuschrist.org. ]]>

The Church of Jesus Christ of Latter-day Saints 4.2

Riverton, UT

Salt Lake City, UT

10000+ employees

Nonprofit Organization

Religious Organizations

Non-Profit

Unknown / Non-Applicable

-1

The Church of Jesus Christ of Latter-day Saints

UT

Data Analyst - Asset Management

$71K-$136K (Glassdoor est.)

Summary The Data Analyst is responsible for producing meaningful, relevant, and insightful analysis of real estate market conditions for all properties in the Maximus portfolio by synthesizing data to interpret economic and real estate trends. Responsibilities Analyze existing resident information, marketing, and development data to help focus efforts and optimize revenue. Analyze economic, demographic, real estate and financial data and trends. Author reports analyzing regional and metropolitan area trends. Contribute to real estate forecasting procedures. Provide analytical support to clients. Prepare presentations and materials. Skills and Abilities Expert knowledge in SQL. Passionate about operations, real estate, and working in a high growth environment. Outstanding quantitative and analytical skills and an ability to dive into the data in order to get to the story behind the numbers. Detailed understanding of financial modeling. Excellent analytical, presentation, and visualization skills. Great written and verbal communication skills. Must be patient, careful, very detail-oriented, and be able to QA & debug SQL/code. Requirements Bachelors Degree in CS or related technical discipline. 5+ years of relevant working experience. Solid understanding statistics and trends. Experience with generating reports, Yardi preferred. Experience in real estate or a related industry a plus working with renter information and marketing data. Maximus is an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Maximus Real Estate Partners 4.3

San Francisco, CA

San Francisco, CA

51 to 200 employees

Company - Private

Real Estate

Real Estate

Unknown / Non-Applicable

Greystar, The Related Companies, Prometheus Real Estate Group

Maximus Real Estate Partners

CA

Senior Research Scientist - Embedded System Development for DevOps

$81K-$167K (Glassdoor est.)

What We Do The SEI helps advance software engineering principles and practices and serves as a national resource in software engineering, computer security, and process improvement. The SEI works closely with defense and government organizations, industry, and academia to continually improve software-intensive systems. Our core purpose is to help organizations improve software engineering capabilities and develop or acquire the right software, defect free, within budget and on time, every time. Position Summary: This position within the Software Engineering Institute (SEI) will be located at our customer site in Pittsburgh, PA, and will provide expertise and guidance related to DevOps practices and embedded systems. This position will support the SEI’s mission by working with government customers to understand their challenges, identify actionable solutions, and guide programs to operationalize the most effective techniques and practices. Expertise in DevOps processes and tools, embedded systems development, resilient systems design and implementation, and requirements gathering and analysis, enables the team to develop comprehensive practices and engineering processes tailored to unique customer needs and improve existing processes to meet evolving challenges. Built upon proven software engineering methodologies and cyber-security expertise, the SEI’s engineering processes lead to efficient, successful, and secure product development and deployment You will participate in all phases of the application development lifecycle and will be involved in key decisions regarding software design and technology selection, including hands-on development activities. Requirements: PHD in electrical engineering, computer science, software engineering, computer engineering, or a related quantitative field of study with ten (10) years of applicable experience. Willingness to travel to various locations to support the SEI’s overall mission. This may include national travel to sponsor sites, conferences, and offsite meetings on occasion The candidate will be subject to a background check and must be eligible to obtain and maintain a Department of Defense security clearance. Duties: Experience in embedded software, electrical engineering, Python and C and will enjoy working in a research-based environment. Relevant experience within the last 5 years, working on a large system development program. Proficiency in software development using C, C , Python, and VHDL Proficiency in analog circuit design and characterization is a plus Proficiency in Digital Signal Processing algorithm development is a plus Linux configuration: RHEL/CentOS/Ubuntu Continuous Integration and Continuous Delivery Performance Monitoring/Logging/Analysis/Tuning: Kibana, Grafana, Elasticsearch, Nagios, Splunk, Prometheus, etc. Knowledge of network switches, firewalls, and routers Capacity planning (operational capacity and load requirements) Application disaster recovery, migration, roll-back plans, expansion, routine deployments, and system upgrades Experience in developing research proposals. Suitable Developer Experience With: SDLC Best Practices: Build, Test, Code Review, Releases Fixing software bugs/using application and embedded debugging tools (Windows, Linux) Object-Oriented Development: Java, C#, C , Python 3.x Procedural Automation: Python 2.7, Ruby, Perl, and Bash Firmware development: C, C , Rust, X86/ARM assembler Kernel drivers: Windows, Linux, etc. Network/Concurrent Programming: Horizontal/Vertical Scaling Modern Web Development: Django, Angular, React, etc. Deployment Tools: Maven, Docker, Podman, Buildah Container Orchestration: Docker, Kubernetes SCM Tools and Processes: Git, Subversion, Git-Flow Familiarity with Risk and Security Assessment Knowledge/Skills/Abilities: Deep knowledge of software engineering, including detailed knowledge of at least three of the following strengths: Requirements, Architecture and Design, Program and Acquisition Management, Performance Improvement, Assurance, and/or Security Knowledge of how to apply system engineering principles to system software development Understanding of security concerns for computer systems, networks, and services, such as databases. Ability to execute network security assessments, report results, and write documentation. Excellent written and verbal communication skills Excellent reasoning and problem-solving skills Ability to work effectively and manage time without supervision Ability to attend customer meetings and respond to customer requirements Highly-motivated self-starter with an ability to multi-task, prioritize, and be actionable Ability to review the implemented system, understand and interpret the error reports from internal staff and external clients, troubleshoot and debug them in the embedded environment and provide instant fixtures for the same Desired Experience: Education/Training: Master's degree in CS, Information Systems, systems and/or Engineering, Acquisition Management, or equivalent combination of training and experience. Accountability: The member will be directly accountable for understanding DoD technical needs, applying new technologies, and establishing delivery capabilities to meet the needs of the sponsoring organization and the DevOps community. Direction: As a technical staff member, he/she will be expected to operate with minimum supervision using CMU and SEI-defined practices, policies and procedures, in concert with the SEI mission. Decisions: Required to work with government program offices to identify strengths and weaknesses within the acquisition program and their contractor base and build solutions to address weaknesses and identify and utilize strengths. Supervisory Responsibilities: To be able to lead and supervise others. More Information Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world. A listing of employee benefits is available at: www.cmu.edu/jobs/benefits-at-a-glance/. Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.

Software Engineering Institute 2.6

Pittsburgh, PA

Pittsburgh, PA

501 to 1000 employees

College / University

Colleges & Universities

Education

Unknown / Non-Applicable

-1

Software Engineering Institute

PA

Data Scientist - Bioinformatics

$49K-$85K (Glassdoor est.)

*Organization and Job ID** Job ID: 310433 Directorate: National Security Directorate Division: Signature Science & Technology Group: Chemical & Biological Signatures *Job Description** The Pacific Northwest National Laboratory (PNNL) is a multi-program laboratory operated by Battelle for the US DOE. The Chemical and Biological Signature Science Group (CBSS) is an interdisciplinary group of approximately 50 biologists, chemists, and engineers that solve research and development problems related to chemical and biological detection and forensics. Much of the work involves trace detection in complex samples including environmental, food, or biological samples, and is directed toward national security missions to prevent and counter acts of terrorism and the proliferation of weapons of mass destruction. Key challenges include: identifying the appropriate signatures, sample collection/preservation and preparation, development of detection and analysis technologies, and development of approaches and analytical methods for high confidence measurements. CBSS is seeking a computationally oriented bioinformatics scientist with an interest in solving real-world problems in bioforensics and biosecurity. The successful candidate will contribute to research focused broadly on the identification and characterization of chemical signatures that are of concern to national security sponsors, particularly proteomic or metabolomic signatures. They will be a member of an inter-disciplinary team of scientists, engineers, and program managers and will be expected to build networks within and external to the CBSS group. _Discipline, principal job duties/expectations, and qualitative and quantitative measures of performance that_ **_exceed_** _the Functional Descriptor:_ The incumbent will work as a technical contributor under the guidance of senior scientists and engineers, and will be responsible for performing the following with the level of quality, timeliness, and cost, to meet required project and client expectations: + Proficiently applying computational bioinformatics techniques to various assignments in a research and development laboratory + Working in technical teams to complete complex project tasks on time and on budget + Exercising strong written and oral communication skills including carefully documenting experimental results and contributing to technical reports and presentations *The hiring level will be determined based on the education, experience and skill set of the successful candidate based on the following:** + **Level I** : Ability to receive instruction on tasks and report results on time and budget, while working under guidance from experienced staff; ability to take initiative to set personal direction and goals. Ability to contribute to technical products such as peer-reviewed publications and reports. All while embracing expectations for quality, safety, and security. + **Level II** : Ability to receive guidance on new assignments, making preliminary selections on technical alternatives; independently complete recurring assignments. Contribution to proposals. Defining and leading project work at a small to medium task level, reporting results on time and on budget. All while embracing expectations for quality, safety, and security. *Minimum Qualifications** + BS/BA with 0-1 years of experience, MS/MA with 0-1 years of experience *Preferred Qualifications** + BS/BA with 2+ years of experience, MS/MA with 0-3 years of experience OR PhD with 0-1 years of experience + Experience with computational and/or statistical aspects of bioinformatics + Data analysis experience in one with one or more omics data types (genomics, proteomics, or metabolomics) + Experience in proteomics and/or metabolomics is preferred, but applicants with a strong genomics background and willingness to learn will also be considered. + Knowledge of one or more scripting languages (e.g., Python, R) + Proteomics or metabolomics sample preparation laboratory experience + Experience recommending technical approaches and making technical contributions that may ultimately affect the direction of the research + Experience working in multi-disciplinary teams + Experience contributing to peer-reviewed publications or technical reports + Interest and enthusiasm for working on diverse projects that will demand the development of new skills. + PhD in Biology, Chemistry or related field *Equal Employment Opportunity** Battelle Memorial Institute (BMI) at Pacific Northwest National Laboratory (PNNL) is an Affirmative Action/Equal Opportunity Employer and supports diversity in the workplace. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information. All BMI staff must be able to demonstrate the legal right to work in the United States. BMI is an E-Verify employer. Learn more at jobs.pnnl.gov. *_Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from participation in certain foreign government talent recruitment programs. If you are offered a position at PNNL and are currently a participant in a foreign government talent recruitment program you will be required to disclose this information before your first day of employment._** *Other Information** This position will require experimental work involving exposure to risk group 1 and 2 biological agents, biological toxins, typical laboratory chemicals, and equipment that are appropriately assessed and managed to prevent exposing staff to hazards. This position requires the ability to obtain and maintain a federal security clearance. Requirements: U.S. Citizenship Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance 10 CFR 710, Appendix B. Drug Testing: All Security Clearance (L or Q) positions will be considered by the Department of Energy to be Testing Designated Positions which means that they are subject to applicant, random, and for cause drug testing. In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP). Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy until non-use of illegal drugs, including marijuana, for 12 consecutive months can be demonstrated. _Directorate:_ _National Security_ _Job Category:_ _Scientists/Scientific Support_ _Group:_ _Chem & Biological Signatures_ _Opening Date:_ _2020-02-05_ _Closing Date:_ _2020-05-05_

PNNL 3.8

Richland, WA

Richland, WA

1001 to 5000 employees

Government

Energy

Oil, Gas, Energy & Utilities

$500 million to $1 billion (USD)

Oak Ridge National Laboratory, National Renewable Energy Lab, Los Alamos National Laboratory

PNNL

WA

Data Engineer

$60K-$114K (Glassdoor est.)

WHY AVANADE: 14-time winner of Microsoft Partner of the Year 24,000+ certifications in Microsoft technology 90+ Microsoft partner awards 17 Gold Competencies 3,500 analytics professionals worldwide 1,000 data engineers Implemented analytics systems for more than 550 clients 400 AI practitioners 300 cognitive service experts HOW WE SUPPORT YOU: We believe in gender equity and an inclusive community. We offer a comprehensive benefits package: generous vacation allowance disability coverage, retirement plans, paid maternity and paternity leave, life insurance, hotel and travel discounts, extended benefits to cover items that support your well-being, health, dental and vision insurance, professional development and paid Microsoft certification opportunities. ABOUT YOU: You design data solutions that enable clients to see the whole picture and provide insightful and accurate analysis that helps to build successful businesses. ABOUT THE JOB: As a Manager, Data Engineering, you use modern data engineering techniques and Advanced Analytics methods to give your clients the information they need. You collect, aggregate, store and reconcile data from various sources, helping to design and build data pipelines, streams, reporting tools, data generators and a whole range of tools to provide information and insight. You know how to read the patterns and trends that influence business outcomes. DAY TO DAY, YOU WILL: Give colleagues and clients the tools to find and use data for routine and non-routine analysis Use your sound eye for business to translate business requirements into technical solutions Analyze current business practices, processes and procedures to spot future opportunities Assess client needs to build bespoke data design services Build the building blocks for transforming enterprise data solutions Design and build modern data pipelines, data streams, and data service Application Programming Interfaces (APIs) Craft the architectures, data warehouses and databases that support access and Advanced Analytics, and bring them to life through modern visualization tools Implement effective metrics and monitoring Be comfortable to make your own decisions and guide your colleagues Travel as needed to various client locations YOUR SKILLS AND EXPERIENCE INCLUDE: Transforming business needs into technical solutions Mapping data and analytics Data profiling, cataloguing and mapping to enable the design and build of technical data flows Use proven methods to solve business problems using Azure Data and Analytics services in combination with building data pipelines, data streams and system integration Knowledge of multiple Azure data applications including Azure Databricks Experience in preparing data for and building pipelines and architecture You probably have a Bachelors or Masters degree in a quantitative field such as computer science, applied mathematics, statistics or machine learning - or an equivalent combination of education and experience. Youre likely to be a Microsoft Certified Solutions Associate, Microsoft Certified Solutions Expert, and/or Database Administrator already, and you have been in a similar professional position for around five to seven years.

AVANADE 3.9

Washington, DC

Seattle, WA

10000+ employees

Company - Private

IT Services

Information Technology

$2 to $5 billion (USD)

Slalom, Cognizant Technology Solutions, Deloitte

AVANADE

DC

Customer Data Scientist/Sales Engineer

$71K-$204K (Glassdoor est.)

Company Overview H2O.ai is the open source leader in AI with a mission to democratize AI for everyone. H2O.ai is transforming the use of AI with software with its category-creating visionary open source machine learning platform, H2O. More than 18,000 companies use open-source H2O in mission-critical use cases for Finance, Insurance, Healthcare, Retail, Telco, Sales and Marketing. H2O Driverless AI uses "AI to do AI" in order to provide an easier, faster and cost-effective means of implementing data science. H2O.ai partners with leading technology companies such as NVIDIA, IBM, AWS, Intel, Microsoft Azure and Google Cloud Platform and is proud of its growing customer base which includes Capital One, Progressive Insurance, Comcast, Walgreens and MarketAxes. For more information and to learn more about how H2O.ai is driving an AI Transformation, visit www.h2o.ai. Job Summery: Can you learn demonstrations (demos) built with R and/or Python? If you think of a cool demo and it doesn't exist, will you raise your hand to get it built? Can you code proficiently in at least one language used by data scientists and/or data engineers, and does it excite you to learn more? Are you skilled at predictive modeling? Do you view communication skills just as important as technical ones? Can you listen to the needs of your peers and customers and adapt where need be? Can you write a technical proposal and explain it in simple terms? Do you have a competitive drive to be the best you can be? Can you finish what you start? Can you own assignments given to you? If the answer is "yes" to these questions, you potentially could be an excellent fit to join the team of customer engineering makers at H2O.ai. We deliver world-class solution experiences for our customers and drive revenue for our organization. Some of the technical projects you will work on include: training advanced machine learning models at scale in distributed environments, influencing next generation data science tools and data products, and pioneering ideas and products in new areas, such as machine learning interpretability, automatic machine learning, model management, deployment pipelines, and GPU computing. Qualifications and Skills: A great candidate for Customer Data Scientist/Sales Engineer should: Know Python, R, Java, Scala, Spark. Have experience with Big Data including Hadoop, Spark, Kafka. Have a working knowledge of ML algorithms for Regression and Classification problems. Understanding of Supervised, Unsupervised, Deep learning techniques Knowledge of XGBoost, Linear regression, GBM, GLM, LightGBM, Random Forest and other common ML algorithms Experience using TensorFlow, Keras, Scikit libraries for performing ML . Have strong interpersonal, communication and presentation skills. 2+ years experience with performing customer facing activities as part of a pre-sales team or professional services team. Pre-sales experience is nice to have but not required. Comfortable with traveling up to 50%. We are interested in candidates coming from AI/ ML startups and have several years of work experience after completing their MSc or PhD degrees. H2O.ai Perks! Flexible work hours and time off. H2O.ai is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, sexual orientation, gender identity, disability or veteran status. Powered by JazzHR

h2o.ai 4.3

Chicago, IL

Mountain View, CA

201 to 500 employees

Company - Private

Enterprise Software & Network Solutions

Information Technology

Unknown / Non-Applicable

-1

h2o.ai

IL

Lead Data Scientist

$75K-$125K (Glassdoor est.)

Position: Lead Data Scientist Location: Cincinnati, OH Full-time, exempt Join the PatientPoint Business Intelligence & Data Science team in our new Kenwood Cincinnati headquarters office space. Work for a growing entrepreneurial organization where you can apply your critical thinking skills and your ideas and suggestions are valued. Be a part of a team that implements emerging technology and applies the latest quantitative methods to solve complex problems. What you will be doing Far beyond just executing analysis, this key role collaborates, designs and creates statistical models and case study designs that fundamentally change the way we do business. See your greatest works appear in downstream dashboards, mission critical predictive models and processes that are based on successful machine learning. Work on a team with data engineers that will build data ingestion & transformation processes to support your industry leading data science applications in predictive modeling and machine learning deployments. Design, create and deploy analytics solutions leveraging billions of log records from digital interactive touchscreen devices. This position offers you a great opportunity to help build out an entire data science roadmap with the flexibility and the responsibility to develop accurate and reliable data products. This person plays an important role in selecting statistical methodologies and therefore must have a passion for staying current on the newest developments in the data science space. As a data scientist, you will apply your critical thinking skills to understand and, sometimes, reframe high level business questions, prototype new ideas, run experiments, and iterate to better design data driven solutions to business problems. On other projects you might create advanced data queries and scripts for creating useful model features - including leveraging data from multiple external APIs. There are opportunities to lead client-facing presentations, communication, and overall project ownership. Moreover, there are opportunities for data science thought leadership to lead the data science strategy and execution for large programs. Plus, there will be minimal travel, we have a new office space, you will have career growth opportunities, you will get interesting projects and can enjoy free coffee! What you need to be successful A college degree and several years of work experience. Your experience should include direct hands-on work using analytics to establish and change business policy. MS degree preferred in applied statistics, computer science or engineering. You must have strong statistical modeling skills. The ideal candidate will have advanced knowledge of machine learning and predictive modeling techniques. You will be asked to provide an example from your experience leading predictive modeling initiatives. You will need these and other skills to mine large amounts of data and perform data analysis to extract actionable insights for a wide range of topics including internal operations, product development, campaign performance, market dynamics, etc. This position requires that you have mastery and experience with statistical programming in R and Python. You must be very proficient with Python including Pandas, NumPy and Scikit-learn. In R, you must be comfortable with the tidyverse (dplyr and ggplot2) but also specific libraries for training linear and non-linear models, survival analysis, time series forecasting, etc. Mastery of SQL programming and relational data extract. Data definition, transformation and preaggregation techniques helpful. Ability to break down complex business and technical problems into opportunities for analytical study. Particularly, you should have experience with and know when to apply regression analysis, A/B testing, power analysis, anomaly detection, model validation and selection, building of ensemble models, network analysis, simulation, conducting inferential analysis with spatial and time series data, nearest neighbor, deep learning methods, etc. Experience with data visualization tools (ex: Microsoft PowerBI) Excellent verbal, written, and presentation skills demonstrating an ability to "tell a story", listening and persuasion. Experience with storage and retrieval of data in NoSQL databases helpful. Visa sponsorship is not available for this position. Kudos if you have: Working knowledge of graph databases. Experience with Microsoft SQL Server Integration Services (SSIS 2012 and higher). Experience with geospatial analysis. Experience with reporting using SalesForce Wave or Einstein Analytics This is an excellent opportunity and includes a competitive pay and benefits package, including health, dental, vision, disability, and life insurance as well as 401(k) retirement plan with matching company contribution, paid time off, and holidays. No relocation is available. PatientPoint® is a patient engagement solutions company passionately committed to making every doctor-patient engagement better. By harnessing the power of technology, our omnichannel platform more effectively educates and empowers patients, caregivers and staff to deliver improved health outcomes and an enhanced patient experience. For 30 years, hospitals, health systems, physician offices and sponsoring brands have trusted PatientPoint and its more than 450 team members to provide a uniquely integrated experience across care settings. Learn more at patientpoint.com. Employer is EOE/M/F/D/V

PatientPoint 3.8

Cincinnati, OH

Cincinnati, OH

201 to 500 employees

Company - Private

Advertising & Marketing

Business Services

$100 to $500 million (USD)

Outcome Health, Health Media Network, Mesmerize Marketing

PatientPoint

OH

MongoDB Data Engineer II

$77K-$136K (Glassdoor est.)

Designs, develops, builds and evaluates products or technologies. Job Description: Job Responsibilities Leading cross-functional teams in proof of concepts and/or technical projects. Designing and building models and prototypes of proposed products for feasibility, usability and marketability analyses. Evaluating design of competitive products in the marketplace to seek and identify beneficial enhancements to own products. Identifying and designing equipment and processes required for production and distribution. Job Qualifications Education Bachelors degree in STEM (Science, Technology, Engineering or Math) or related field Experience 5 years - Relevant work experience in Analytics, technology or healthcare related field required 3 years - Experience leading complex technical data warehousing, analytical or application development projects 1 year - Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts. 1 year - Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis Skills\Certifications Proven technical background with a history of relational database and data warehousing technologies. Proficient in the use of Teradata SQL, SAS, Data Visualization (e.g., Tableau, Cognos, Webfocus or other), MS Access, MS Excel, Visual Basic, and or .NET Strong ability to independently and proactively initiate projects, hypothesize data & business transaction flows and offer technical solutions. Strong business analytical skills a must; ability to apply business logic to design and implement data profiling & exploring techniques on large data sets. Projects with evidence of Creative and Critical thinking a must. An understanding of risk management methodology and factors. Ability to quickly take complex technical subjects and distill them into user-friendly presentations and digital communications. Ability to work independently with minimal supervision or function in a team environment sharing responsibility, roles and accountability. Attention to detail, exceptional documentation abilities, and organizational skills Proficient oral and written communication skills Strong interpersonal and organizational skills Consolidates issues for management level review; develops clear written recommendations, which require minimal editing; presents recommendations and resolves issues with management. Take part in training courses to increase skill set and technical capabilities in order to better serve the needs of the Research and Development team Job Specific Requirements: Previous working experience as a NoSQL Developer, preferably for MongoDB. Design and development experience building a reusable REST API model/framework to consume data from and/or push data into a NoSQL database. In depth knowledge of modeling/architectural patterns, governance methodologies, and potential limitations within MongoDB or similar NoSQL technologies (DynamoDB, Google Cloud Datastore, IBM Cloudant, Apache Cassandra) Number of Openings Available: 1 Worker Type: Employee Worker Sub-Type: Regular Company: BCBST BlueCross BlueShield of Tennessee, Inc. Applying for this job indicates your acknowledgement and understanding of the following statement: BCBST is an Equal Opportunity employer (EEO), and all employees and applicants will be entitled to equal employment opportunities when employment decisions are made. BCBST will take affirmative action to recruit, hire, train and promote individuals in all job classifications without regard to race, religion, color, age, sex, national origin, citizenship, pregnancy, veteran status, sexual orientation, physical or mental disability, gender identity, or any other characteristic protected by applicable law. Further information regarding BCBST's EEO Policies/Notices may be found by reviewing the following page: BCBST's EEO Policies/Notices BlueCross BlueShield of Tennessee is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at BlueCross BlueShield of Tennessee via-email, the Internet or any other method without a valid, written Direct Placement Agreement in place for this position from BlueCross BlueShield of Tennessee HR/Talent Acquisition will not be considered. No fee will be paid in the event the applicant is hired by BlueCross BlueShield of Tennessee as a result of the referral or through other means. Tobacco-Free Hiring Statement T o further our mission of peace of mind through better health, effective 2017, BlueCross BlueShield of Tennessee and its subsidiaries no longer hire individuals who use tobacco or nicotine products (including but not limited to cigarettes, cigars, pipe tobacco, snuff, chewing tobacco, gum, patch, lozenges and electronic or smokeless cigarettes) in any form in Tennessee and where state law permits. A tobacco or nicotine free hiring practice is part of an effort to combat serious diseases, as well as to promote health and wellness for our employees and our community. All offers of employment will be contingent upon passing a background check which includes an illegal drug and tobacco/nicotine test. An individual whose post offer screening result is positive for illegal drugs or tobacco/nicotine and/or whose background check is verified to be unsatisfactory, will be disqualified from employment, the job offer will be withdrawn, and they may be disqualified from applying for employment for six (6) months from the date of the post offer screening results. Resources to help individuals discontinue the use of tobacco/nicotine products include smokefree.gov or 1-800-QUIT-NOW.

BlueCross BlueShield of Tennessee 3.8

Chattanooga, TN

Chattanooga, TN

5001 to 10000 employees

Nonprofit Organization

Insurance Carriers

Insurance

$5 to $10 billion (USD)

-1

BlueCross BlueShield of Tennessee

TN

Senior Data Scientist Statistics

$74K-$123K (Glassdoor est.)

*Organization and Job ID** Job ID: 310566 Directorate: National Security Directorate Division: Computing and Analytics Group: Applied Statistics and Computational Modeling *Job Description** This position is for a Scientist in Data Science and Applied or Mathematical Statistics who will provide scientific and technical research within the National Security Directorate (NSD) supporting the data analytics capabilities of the Computing and Analytics Division. The Scientist will define and carry out the application of existing methodologies and original research in data science and mathematical statistics, including statistical methods in experimental design, machine learning, and data modeling to recognize patterns, characterize uncertainty, and develop predictive models using structured and unstructured data. The Scientist will produce solutions driven by domain science and mathematical statistical science from complex and high-dimensional datasets and design, develop, and evaluate advanced algorithms that lead to optimal value extraction from data. In addition to technical research this position expects participation and career development in task management, proposal writing, business development, and publishing. Operating on the data-information-knowledge continuum, staff at PNNL employ diverse methods to confront significant problems of national interest from distilling distributed data into knowledge that supports decision processes to enabling resilient technologies that enhance computing at extreme scales. Our research portfolio spanning from basic to applied includes statistical modeling and experimental design, applied statistics, applied mathematics, machine learning, operations research, optimization, and other advanced statistical and mathematical domains. Computing researchers and practitioners work side by side to apply advanced theories, methods, algorithms, models, evaluation tools and testbeds, and computational-based solutions to address complex scientific challenges affecting energy, biological sciences, the environment, and national security. Core domain knowledge is beneficial, such as in the nuclear, biological, energy, materials, or chemical science spaces. *Minimum Qualifications** + BS/BA with 7 years of experience, MS/MA with 5 years of experience, or PhD with 3 years of experience *Preferred Qualifications** + PhD in statistics with experience involving increasing levels of scientific research, task management, and programmatic responsibility + Position requires ability to apply theories and develop technical approaches with minimal oversight + Position requires the ability to effectively team with scientists and engineers to develop creative solutions to complex problems *Equal Employment Opportunity** Battelle Memorial Institute (BMI) at Pacific Northwest National Laboratory (PNNL) is an Affirmative Action/Equal Opportunity Employer and supports diversity in the workplace. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information. All BMI staff must be able to demonstrate the legal right to work in the United States. BMI is an E-Verify employer. Learn more at jobs.pnnl.gov. *_Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from participation in certain foreign government talent recruitment programs. If you are offered a position at PNNL and are currently a participant in a foreign government talent recruitment program you will be required to disclose this information before your first day of employment._** *Other Information** This position requires the ability to obtain and maintain a federal security clearance. Requirements: U.S. Citizenship Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance 10 CFR 710, Appendix B. Drug Testing: All Security Clearance (L or Q) positions will be considered by the Department of Energy to be Testing Designated Positions which means that they are subject to applicant, random, and for cause drug testing. In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP). Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy until non-use of illegal drugs, including marijuana, for 12 consecutive months can be demonstrated. _Directorate:_ _National Security_ _Job Category:_ _Computation and Information Sciences_ _Group:_ _Appld Stats & Comp Modeling_ _Opening Date:_ _2020-02-27_ _Closing Date:_ _2020-05-27_

PNNL 3.8

Richland, WA

Richland, WA

1001 to 5000 employees

Government

Energy

Oil, Gas, Energy & Utilities

$500 million to $1 billion (USD)

Oak Ridge National Laboratory, National Renewable Energy Lab, Los Alamos National Laboratory

PNNL

WA

Senior Data Analyst

$44K-$78K (Glassdoor est.)

KnowBe4, Inc. is a high growth information security company. We are the world's largest provider of new-school security awareness training and simulated phishing. KnowBe4 was created to help organizations manage the ongoing problem of social engineering. Tens of thousands of organizations worldwide use KnowBe4's platform to mobilize their end users as a last line of defense and enable them to make better security decisions. We are ranked #1 best place to work in technology nationwide by Fortune Magazine and have placed #1 or #2 in The Tampa Bay Top Workplaces Survey for the last four years. We also just had our 27th record-setting quarter in a row! The Senior Data Analyst will work closely with the Vice President of FP&A and Director of Analytics to implement advanced analytical models and other data-driven solutions. Responsibilities: Review and analyze source data and ensure data accuracy and integrity Work with stakeholders to understand their available data, optimize associated data model and create business insights Work alongside the Data Scientists to ensure accuracy and integrity of data, as needed Extract, transform, and load data from source systems into data warehouse Work with data engineers and scientists to automate and refine data pipelines Maintain, automate, and increase efficiency of data sets Visualization of data in reports and dashboards to communicate results to the business Perform ad-hoc analysis, presentations and other projects as required Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality Support FP&A analytics mission to generate datasets or create new reports/dashboards and visualizations to communicate results to our stakeholders Create and analyze SaaS and Financial performance metrics to identify key drivers for expenses, revenues and business risks Create forecasting model to support FP&A processes Minimum Qualifications: Master's degree in Mathematics, Statistics, or other quantitative discipline required A minimum of 0-3 yrs in a similar data analyst role Experience with statistical computer languages (Python, R etc.) to manipulate and analyze large datasets Detail oriented with the ability to identify anomalies in data Able to work with and mine large amounts of data Experience with descriptive statistical analysis, predictive modeling experience preferred Experience visualizing data to communicate findings for a non-technical audience Experience with databases, query languages (SQL), and data modeling Ability to work in a fast-paced environment and adapt to change Strong analytical skills and ability to meet project deadlines Excellent time management and organization skills Advanced Excel skills, including vba is a plus Note: An applicant assessment, background check and drug test may be part of your hiring procedure. No recruitment agencies, please.

KnowBe4 4.8

Clearwater, FL

Clearwater, FL

501 to 1000 employees

Company - Private

Security Services

Business Services

$100 to $500 million (USD)

-1

KnowBe4

FL

Senior Spark Engineer (Data Science)

$65K-$148K (Glassdoor est.)

Company Description At KSM Consulting, you are bigger, bolder, and brighter. You bring innovative ideas to the table, and you learn from the experts sitting beside you. You stand on the shoulders of giants and on some days, you are the giant. That’s what we call… You. Amplified. At our growing Indianapolis-based technology, data, and management consulting firm, you’ll be exposed to the latest industry trends as well as some of the most challenging problems our clients face. And through deep understanding, tenacity, collaboration, and know-how, you help those clients find the solution that’s right for them. In everything you do, you’ll help your clients, colleagues, and communities thrive. Job Description To help continue our rapid growth and solve our clients’ toughest problems, we need a strong python and spark developer to join the talented data science team. In this role, you’ll work with a strong team of Data Scientists, Data Engineers and Data Architects to solve some of the most exciting and challenging problems faced by companies and governments in today’s fast-paced environment. Many of your efforts will provide you the opportunity to apply innovative and difference-making decisions while working with complex and/or unstructured data. You will gain visibility with senior leadership and work with a team that prioritizes your growth as a big data engineer. If you love to solve problems and add value, please consider what your typical days might look like: Design, develop and deploy production-ready algorithms at scale Design develop and maintain data collection pipelines from diverse sources, large scale structured and unstructured data Design, develop and maintain pipelines for machine learning model training and development Drive optimization, testing and tooling to improve quality of solutions Qualifications The right candidate for this role must have at least 2 years of hands on development experience in spark and python. Some of the skills and experience we are expecting include: Experience of software engineering in python/Scala/Java/C++ Experience and expertise in using Spark in combination with pySpark, Scala or Java, either on-premise or Cloud Experience with relational database and SQL (Postgres, Redshift, SQL Server) Expert knowledge of distributed computing, RDD and optimization techniques Experience with NoSQL and streaming platforms, e.g. Kafka, MongoDB, Neo4j is a plus Experience with advanced analytics and modern machine learning techniques is a plus Experience with developing software products for cloud platform, e.g. AWS, Azure, GCP is a plus Experience with cloud native services such as AWS EMR, Azure databricks, HDInsight, Sagemaker is a plus Proficiency with APIs, containerization and orchestration is a plus Comfortable on Linux for both development and operations Bachelor’s degree in Computer Science, Engineering or a similar field is required Additional Information What you should know about KSMC: Our people work hard. We solve big problems, serve lots of clients, and are generally engaged throughout the entire workday and beyond. We compensate well and show our appreciation in lots of ways including Thursday Throwdowns, quarterly employee events, Community Day, and family events. We’re are an employee-owned company as part of the Katz, Sapper & Miller Network. Our snack room is well stocked with healthy drinks and food to keep you going during your work day. We pride ourselves in having the best talent in the industry and hope that you’re up for the challenge! Must have current authorization to be employed in the U.S. without employer sponsorship All qualified applicants will receive consideration for employment without regard to age, color, sex, disability, national origin, race, religion, or veteran status. Sponsorship is not available for this position. KSM Consulting generally does not sponsor foreign national candidates for work authorization except for positions that in KSMC’s determination require highly specialized knowledge and for which candidate sponsorship is appropriate. Equal Opportunity Employer

KSM Consulting 4.4

Indianapolis, IN

Indianapolis, IN

51 to 200 employees

Company - Private

Consulting

Business Services

Unknown / Non-Applicable

-1

KSM Consulting

IN

Data Engineer

$59K-$110K (Glassdoor est.)

Data is the life blood of Cogo Labs and impacts nearly all decision making within the company. Cogo Lab's data team serves the important responsibility of maintaining, planning, and scaling these vital systems. As a curator of these systems you will ingest and process billions of events each day and have a direct impact on Cogo's bottom line. As a Data Engineer at Cogo Labs you will: Build and maintain robust, fault-tolerant ETL pipelines for Cogo's internal and external data resources Work alongside analysts and other engineers in cross-functionally staffed projects that support Cogo's long term vision of supporting 30 companies concurrently Work with external partners to integrate new data feeds Maintain, plan, and scale Cogo's MySQL and PostgreSQL relational database infrastructure Participate in weekly on-call rotations and respond to occasional off-hours outages Work with incubating companies and teams to plan their data pipeline, optimize their data processes and SQL, and act as a sounding board for all data questions Skills and requirements: At least three years of work experience in software engineering Familiarity with five of the following: Spark, MySQL, PostgreSQL, EMR, S3, Redshift, Airflow, Presto, Hive, Kafka, RabbitMQ, Map Reduce Proficiency with Python and one of the following languages: Java, Scala, Golang Comfort and experience with the Linux command line and Git Knowledge of relational database best-practices like replication, high availability, and performance tuning Strong problem-solving/analytical aptitude Ability to self-manage tasks and context-switch as necessary The willingness and ability to learn Nice to haves: Experience or familiarity with LVM, md, ext4, or ZFS Exposure to Docker and/or containers Cogo Labs is an equal opportunity employer and individuals seeking employment with us are considered without regards to race, color, religion, national origin, age, sex, marital status, physical or mental disability, veteran status, gender identity, sexual orientation, or any other characteristic protected by law.

Cogo Labs 3.9

Cambridge, MA

Cambridge, MA

51 to 200 employees

Company - Private

Internet

Information Technology

Unknown / Non-Applicable

-1

Cogo Labs

MA

BI & Platform Analytics Manager

$85K-$134K (Glassdoor est.)

A collective energy and ambition. A place where you can make a real difference. We’re a company that genuinely cares about our people, our products, our consumers and the environment. Our unique, informal culture champions courage, determination and collaboration. Knowing we have an open and supportive team means each of us has the freedom to take responsibility and ownership. We have a shared passion to work hard, innovate and push boundaries. United by the belief that when we strive for growth, anything is possible. While we might not be the largest company in our industry, we believe we can have the biggest impact because: Together We Have the Power to Win. Role Summary Responsible for managing the reporting needs and business requirements for our TPM and Analytical Systems (trade promotions management system) to include all future enhancements, updates, changes as well as new system implementations. Direct interface with all functions as well as contracted consultants to ensure integration and implementation of: Process Optimization TPO (Trade Promotion Optimization) Sales Optimization Development of standardized reporting & visualization of data Artificial Intelligence / Machine Learning applications Training & Change Management Role Accountabilities and Responsibilities Business Intelligence and Platform Analytics Strategy & Vision Works with Sales Organization and leadership to develop robust reporting tools utilizing systems and technology to advance the Sales Organization’s ability to measure the performance of its business. Work closely with cross functional teams to provide cohesive revenue management reporting. Leverage technology to create and automate advanced reporting and visualizations to aid in speed to insights. Oversight of Future of System and Reporting Initiatives Ability to use disparate data sources along with our data lake to develop cutting edge intelligent reporting solutions. Have a deep understanding of current systems to act as the system SME for capabilities and required enhancements to support the business. Ability to translate business needs into technical requirements for IT and vice versa. Education and Experience Education & Experience BA/BS degree from an accredited college/university. 5+ years of experience as a Sales Analyst, Business Analyst, BI Analyst, Trade Marketing Analyst or a related function. Proficiency in Excel, PowerPoint, Power BI / Tableau, Syndicated Data, Trade Promotion Management. Mastery of Excel and experience in programming language such as R & Python a plus. Position requires individual to have a thorough understanding of business financials and experience presenting to executive level personnel. Prior experience in CPG is highly preferred. Church & Dwight is proud to be an Equal Opportunity Employer/Veterans/Individuals with Disabilities. For more information on our company, our brands and our culture visit us at http://www.churchdwight.com/

Church & Dwight 3.4

Ewing, NJ

Ewing, NJ

1001 to 5000 employees

Company - Public

Consumer Products Manufacturing

Manufacturing

$2 to $5 billion (USD)

-1

Church & Dwight

NJ

Lead Data Scientist

$124K-$204K (Glassdoor est.)

Job Description Since 1851, MassMutuals commitment has always been to help people protect their families, support their communities, and help one another. This is why we want to inspire people to Live Mutual. Were people helping people. A career with us means you will work alongside exceptional people and be empowered to reach your professional and personal goals. Our employees are the foundation of what makes MassMutual a strong, stable and ethical business. We seek and value unique and varied perspectives and experiences because we believe we are stronger when all voices are heard. We invite you to bring your bright, innovative ideas to MassMutual as we continue to help millions of Americans rely on each other. Description Position Summary: MassMutuals Advanced Analytics group is seeking an exceptional, highly motivated and self-directed data scientist. In this role, you will perform data-driven research, problem solving, and algorithm development through the systematic application of mathematics, statistics and computer science as well as cutting edge data technologies. Results of this work manifest themselves in a variety of ways, including interactive visualizations, presentations, publications, web applications, predictive algorithms, and APIs. This is an opportunity to join a small but growing high performing team with diverse backgrounds in applied math, computer science and physics that have been tasked with developing, maintaining and extracting knowledge from a strategic data asset. Our work revolves around studying fundamental and high impact business questions that directly impact the direction of the company and industry at large. Overall Responsibility: Set strategy and assume a leadership role in a domain of expertise Develop roadmaps for projects and services, data, and technology Oversee operations of algorithm and system deployments Partner with executive leadership to ensure alignment of data science initiatives and company strategy Lead projects and research initiatives Develop algorithms and predictive models, create prototype systems, visualizations, and web applications Design and analyze experiments Assemble data sets from disparate sources and analyze using appropriate quantitative methodologies, computational frameworks and systems Disseminate findings to non-technical audiences through a variety of media, including interactive visualizations, reports and presentations Mentor junior team members Candidate Requirements: Industry recognized expertise 7+ years working with data and relevant computational frameworks and systems 7+ years developing of probabilistic models and machine learning algorithms Proficient level of understanding in the following areas and an expert in at least one: machine learning, probability and statistics (esp. Bayesian methods), natural language processing, operations research Exceptional problem solving skills and willingness to learn new concepts, methods, and technologies Expert in data analysis using R or Python (numpy, scipy, matplotlib, scikit-learn, pandas, etc.) programming languages Knowledge of HTML/CSS/Javascript, d3.js and web application frameworks (Flask, Django, Play!, etc.) Knowledge of NoSQL systems, Hadoop/map-reduce, Spark, Hbase, etc. Experience in database design and SQL Ability to work in a highly collaborative environment Outstanding communication skills (publication history a plus) Education - M.S. or Ph.D. in a quantitative discipline (Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, etc.) is required CORE VALUES Focus on the Customer: We understand our customers well and look for every opportunity to deliver an experience that is clear, easy, personal, human, empowering and trustworthy. Act with Integrity: We deliver on our promises by being open, honest and humble and by adhering to the letter and spirit of applicable laws, rules, regulations and company policies. Value People: We respect and learn from each others diverse backgrounds, experiences and ideas. We engage and develop people to their greatest potential. Work Collaboratively: We work together to achieve results by actively listening, seeking, understanding and creating solutions as a unified team driving toward one company, one culture, and one brand. Achieve Results: We focus on winning by exceeding expectations and getting better everyone, every day.

MassMutual 3.6

Boston, MA

Springfield, MA

5001 to 10000 employees

Company - Private

Insurance Carriers

Insurance

$10+ billion (USD)

-1

MassMutual

MA

Sr. Data Scientist - Analytics, Personalized Healthcare (PHC)

$131K-$207K (Glassdoor est.)

The Position Purpose As a Senior Data Scientist within our Personalized HealthCare function you will work with meaningful data to generate impactful evidence and insights on our molecules/ medicines and patients, that support R&D, advance scientific and medical knowledge, and enable personalized patient care and access. You will collaborate with peers within the function and across the organization to develop evidence generation strategies, identify evidence gaps and data sources, design and execute studies, and implement analyses to address molecule and disease area questions. The data will be varied in type -- patient-level clinical data, supplemented with deep patient data such as omics (e.g. genomics, proteomic), imaging, digital health, etc. Source data will be diverse -- real-world data, including patient registries, electronic medical records, claims, biobanks, and clinical trials. The evidence and insights will be used to inform the research and development of our molecules, and support healthcare decisions by patients, physicians, health authorities, payers, and policy-makers. You will also contribute to functional, cross- functional, enterprise-wide or external initiatives that shape our business and healthcare environments. This will require a good understanding of molecule and disease area strategies, healthcare environments, as well as strong scientific and technical data science expertise. You will need strong strategic, collaboration and communication skills, as well as an entrepreneurial mindset, to transform the way we use data and analytics to develop and deliver medicines for our patients. As Senior Data Scientist you will typically be expected to contribute to the molecule/disease area for multiple or complex projects with minimal supervision. You will contribute to the development of new concepts, techniques, and standards. We will look to you as a positive role model for peers and you will coach colleagues to improve in their role with both technical and interpersonal skills. Responsibilities IDENTIFY EVIDENCE NEEDS & RECOMMEND DATA SOLUTIONS: Ask the right scientific questions, understand the evidence needs for research and development, regulatory and market access, and ideate and make recommendations on fit-for-purpose data and analytics solutions. DEVELOP DATA STRATEGY & GAIN ACCESS TO DATA: Develop strategic plans to access fit-for-purpose data sources to support evidence generation, and gain access to data through collaboration or data generation. DIVE INTO DATA: Develop a comprehensive and deep understanding of the data we work with and foster learning with colleagues using analytical tools and applications to broaden data accessibility and advance our proficiency/efficiency in understanding and using the data appropriately. BE AN EXPERT IN APPLYING METHODS: Stay current with and adopt emergent analytical methodologies, tools and applications to ensure fit-for-purpose and impactful approaches. PRODUCE HIGH QUALITY ANALYSES: Apply rigor in study design and analytical methods; plan for data processing; design a fit-for-purpose analysis plan, assess effective ways of presenting and delivering the results to maximize impact and interpretability; implement and/or oversee the study, including its reporting; ensure compliance with applicable pharma industry regulations and standards. INTERPRET AND SHARE RESULTS: Communicate findings to internal stakeholders, regulatory, health technology assessment (HTA) bodies and scientific communities; publish results; participate in external meetings and forums to present your insights (e.g. congress/conference). COLLABORATE & SHAPE: Collaborate and contribute to functional, cross-functional, enterprise-wide or external data science communities, networks, collaboratives, initiatives or goals on knowledge-sharing, methodologies, innovations, technology, IT infrastructure, policy-shaping, processes, etc. to enable broader and more effective use of data and analytics to support business. Qualifications MSc, PhD or similar qualification in a quantitative data science discipline (e.g., statistics/ biostatistics, epidemiology, bioinformatics, health economics, computational biology, computer science, mathematics, outcomes research, public health, biology, medicine, psychology) with at least 2 years (if PhD) and 3+ years relevant work experience Demonstrated track record of developing and execution of data science research projects, patient-level data analyses (e.g., real world data, surveys, clinical trials, registries, claims, genomic or imaging data) with publications and presentations Demonstrated experience with managing project scope and driving delivery in an evolving environment requiring proactivity and effective problem-solving and prioritization when faced with challenges Demonstrated strong collaboration skills and excellent communication skills Demonstrated entrepreneurial mindset and self-direction, ability to teach others and willingness to learn new techniques Proficiency in English, both written and verbal Track record of effectively working in a matrix environment with global, international team members coming from scientific, business and operational backgrounds, using influence without authority Fluency in statistical programming languages (R, Python, etc.) Experience implementing advanced analytics approaches (machine learning, longitudinal data analysis, etc.) Experience with technologies required to undertake analyses on large data sources or with computationally intensive steps (SQL, parallelization, Hadoop, Spark, etc.) Experience producing interactive outputs (Shiny, etc.) Contributor to open source packages, libraries or functions Experience implementing reproducible research practices like version control (e.g., using Git) and literate programming Experience analyzing RWD (non- interventional studies, electronic medical records, claims, disease registries etc.) is essential. Additional data types, such as omics (next generation sequencing data, proteomics, etc.) also desired. #ds #LI-HB2 #PDP Who We Are A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work. The next step is yours. To apply today, click on the "Apply online" button. Genentech is an equal opportunity employer & prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital & veteran status. For more information about equal employment opportunity, visit our Genentech Careers page. Job Facts JOB FUNCTION Modelling & Simulation COMPANY/DIVISION Pharmaceuticals SCHEDULE Full time JOB TYPE Regular

Genentech 3.9

South San Francisco, CA

South San Francisco, CA

10000+ employees

Subsidiary or Business Segment

Biotech & Pharmaceuticals

Biotech & Pharmaceuticals

$10+ billion (USD)

-1

Genentech

CA

Senior Data Scientist

$110K-$174K (Glassdoor est.)

Senior Data Scientist Mist, a Juniper Company, is the first vendor to bring enterprise-grade Wi-Fi, BLE and IoT together through a highly scalable cloud architecture. At Mist, we built the first AI-empowered platform to provide an unprecedented visibility into the user experience. Mist is the new global standard for many fortune 500 companies. The mission of the Data Science team at Mist is to leverage state-of-art ML and AI technologies to build the next-generation self-driving network solution, which can take actions on behalf of or together with human experts to automatically monitor, detect and remediate common network issues. The team includes a group of experienced and talented data scientists and data science engineers, and builds the end-to-end data analytics infrastructure and ML models of the product. Now we are looking for a Senior Data Scientist to help define and expand this mission. As a data scientist, you will collaborate with product managers and domain experts to identify use-impacting real customer problems, use your deep DS/ML knowledge to develop data-driven solution with terabytes data, and work closely with data engineers to implement and scale the models in production. Qualifications/Requirements: • MS or PhD in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background • Excellent understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, neural network etc • 3+ years experiences building data science-driven solutions including data collection, feature selection, model training, post-deployment validation • Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning models • Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow • Good team worker with excellent communication skills written, verbal and presentation Desired Experience: • Experience with AWS, S3, Flink, Spark, Kafka, ElasticSearch • Knowledge and experience with NLP technology • Previous work in a start-up environment Juniper Networks is enrolled in E-Verify® and will be participating in E-Verify in addition to our Form I-9 process. www.dhs.gov/E-Verify Juniper Networks is an Equal Opportunity/Affirmative Action Employer.

Juniper Networks 3.8

Cupertino, CA

Sunnyvale, CA

5001 to 10000 employees

Company - Public

Telecommunications Services

Telecommunications

$2 to $5 billion (USD)

-1

Juniper Networks

CA

Pricipal Scientist Molecular and cellular biologist

$52K-$101K (Glassdoor est.)

Job Description OBJECTIVE: Help us make safer drugs |The next generation of life changing medicines include gene therapies, oligonucleotides and cell therapies all honed to treat previously untreatable diseases. Help us shape this next generation of life-saving medicines by improving the design of next-generation therapeutics based on proactive detection & de-risking of dose limiting toxicities related to liver. Deliver decision-making data |Design & deliver of state-of-the-art in vitro assays to detect & de-risk toxicity for medicines in discovery & development. Help shape the evolution of cell & gene therapies to deliver safer & more effective medicines for patients with rare diseases. Lead toxicological investigations to detect & de-risk toxicities in drug discovery and development using in vitro and in vivo data. Use cutting edge cell culture and organ-on-a-chip technologies to help make the next generation of gene and cell therapies. Probe molecular and cellular mechanisms of toxicity to determine drivers of liver, lung and cardiovascular toxicities and guide drug projects to make safer medicines using your experience, in-house, and literature data. Drive the development of safer gene and cell therapiesusing in vitro and in vivo data from a matrixed project team. EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS: PhD in biology, pharmacology, toxicology or a related discipline with PostDoc experience. Experience with conventional and advanced cell culture approaches with cell lines, primary cells, and iPSC cells. Experience with 3D cell-culture highly desirable. Experience in assays related to liver safety biomarkers, transporters, and P450 enzymes is desired. Experience working in a matrixed team environment at a pharmaceutical company and/or CRO Broad scientific knowledge including pharmacology, toxicology, pathology, physiology and biochemistry. Expertise designing & delivering fit for purpose assays for understanding the mechanism of toxicity of agents including drugs, for biomarker development and application, and for de-risking drug candidates. Experience with organ systems in addition to liver such as cardiovascular, GI, and immune systems is highly desired Strong interpersonal and organizational skills Excellent oral and written communication skills LICENSES/CERTIFICATIONS: DABT certification a plus, but not necessary Locations Boston, MA Worker Type Employee Worker Sub-Type Regular Time Type Full time

Takeda Pharmaceuticals 3.7

Boston, MA

OSAKA, Japan

10000+ employees

Company - Public

Biotech & Pharmaceuticals

Biotech & Pharmaceuticals

$10+ billion (USD)

Novartis, Baxter, Pfizer

Takeda Pharmaceuticals

MA

Data Scientist (Actuary, FSA or ASA)

$81K-$133K (Glassdoor est.)

At Legal & General America, we aim to make a positive difference in the lives of our customers, partners, colleagues, and the communities in which they live. As a recognized market leader of term life insurance, we’re working to transform our business through innovation and technology to provide products and solutions that help American families secure their financial futures. We are a future-focused company, passionate about what we do and how we do it. This means working with pace and energy to reach our goals, and challenging ourselves to achieve more. We strive to create a unique environment where balance between work and life is possible. Our employees' passion, dedication and hard work, as well as our career development opportunities, benefits, and employee activities contribute to our positive workplace culture. The Advanced Analytics team develops and maintains a collection of analytical solutions that span the Actuarial, Underwriting, Operations, Risk and Marketing spaces. Your primary responsibilities include the creation and maintenance of an exciting and important collection of advanced analytical solutions involving predictive modeling (statistical, machine learning), optimization and simulation. You will be especially involved in the analysis of lapse and mortality experience, and the modernization of the assumption setting process. Additional responsibilities will include developing cutting-edge underwriting triaging models, along with potential involvement in any of the other business areas mentioned above. You will be highly engaged through all stages of a project. You will meet with business leaders to flesh out project objectives at the start. You will drive the data acquisition phase where you will collaborate with Data Engineers to identify data sources and query structured databases. You will transform the data and engage in advanced feature engineering to develop the analytical solution and perform model validation. Ultimately, you will document and present your results to a spectrum of business leaders, helping to transform the organization through modern, data-driven decision making. Education BS/BA in Math/Statistics, Masters in Statistics preferred. Associate of the Society of Actuaries (ASA) (FSA preferred) Experience/Knowledge 5+ years of life insurance/actuarial experience. 2+ years predictive modeling. Experience study for mortality and lapse background strongly preferred. Good familiarity with life underwriting preferred. Skills Strong working knowledge of R preferred, Python OK. Spreadsheet and database capabilities (Excel, SQL). Visualization tool experience helpful (Tableau, Spotfire, QlikView) Excellent written and oral communication skills, including presentation skills. Strong documentation skills. Strong project management skills. Ability to multi-task in a deadline-oriented environment. Ability to work independently and collaboratively. Strong actuarial analytical skills and problem solving ability. Self-motivated.

Legal & General America 3.8

Frederick, MD

Frederick, MD

501 to 1000 employees

Company - Private

Insurance Carriers

Insurance

$500 million to $1 billion (USD)

-1

Legal & General America

MD

Staff Data Scientist

$132K-$211K (Glassdoor est.)

Western Digital The next big thing in data is you! JOB DESCRIPTION SUMMARY: Digital Analytics Office (DAO) is looking for software engineer to focus on building production ready machine learning analytical solutions. The role is expected to specialize in designing and architecting complex Machine Learning models in production environments. Ideal candidate should be a software engineering expert who would build complex software analytics applications that provide end-to-end architecture, design, development and maintenance of these large scale systems. ESSENTIAL DUTIES AND RESPONSIBILITIES: Design and architect End-to-End platform/system for customer analytical needs. Designing and testing complex Machine Learning models. Fast pace agile prototyping of solutions. Interact with business users to understand their analytics needs & requirements for designing the most optimal solution efficiently. REQUIRED SKILLS & CHARACTERISTICS: Master’s Degree or PhD in Computer Science or Software Engineering. Proficient in computer science fundamentals, algorithms & data structures. Proficient in programming languages like Java & Python. Knowledge of Microservices architecture, API development, REST services, service oriented architecture (SOA) & web application development. Experience with Database Technologies (SQL/NoSQL) & Big Data Technologies (Hadoop, Hive). Experience with Cloud Platforms like AWS and Azure. Familiar with working in an agile software development framework with test driven development approaches. Expertise in Machine Learning Techniques such as Logistic Regression, Naïve Bayes, neural networks, various classification and clustering algorithms, deep learning etc. Able to work with big data systems (Hive, Hadoop, HQL, Hbase, Presto) & cloud technologies (AWS Redshift, DynamoDB). Strong interest in problem solving, taking ambiguously defined problem and articulating clear problem statements. ABOUT WESTERN DIGITAL The future. It’s on you. You & Western Digital. We’ve been storing the world’s data for more than 50 years. Once, it was the most important thing we could do for data. Now we’re helping the world capture, preserve, access and transform data in a way only we can. The most game-changing companies, consumers, professionals, and governments come to us for the technologies and solutions they need to capture, preserve, access, and transform their data. But we can’t do it alone. Today’s exceptional data challenges require your exceptional skills. It’s You & Us. Together, we’re the next big thing in data. Western Digital® data-centric solutions are found under the G-Technology™, HGST, SanDisk®, Tegile™, Upthere™, and WD® brands. Western Digital is an equal opportunity employer. Western Digital does not discriminate on the basis of race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Equal Employment Opportunity is the Law" poster. Federal and state laws require employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you need any accommodation or assistance with our career site, please contact us at staffingsupport@wdc.com. Western Digital participates in the E-Verify program in the US. For more information click here. Este empleador participa in E-Verify. #LI-JS1

Western Digital 3.5

San Jose, CA

San Jose, CA

10000+ employees

Company - Public

Computer Hardware & Software

Information Technology

$10+ billion (USD)

Seagate Technology, Toshiba

Western Digital

CA

Senior Data Scientist / Machine Learning

$73K-$119K (Glassdoor est.)

IMMEDIATE NEED FOR A SENIOR DATA SCIENTIST / MACHINE LEARNER The Senior Data Scientist/Machine Learning, as part of Health IQ’s Business Insights team, uses predictive analytics and innovative machine learning models to create value from data. This role is at the heart of finding and proving innovative solutions and is responsible for developing and driving strategic modeling initiatives while maintaining a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework. As a Senior Data Scientist / Machine Learning, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization. From your models, you will deliver actionable insights that can be incorporated into existing Health IQ products as well as new programs. The ideal candidate for this role will have a passion for creating solutions, an attitude of creativity, and continual learning. Responsibilities: Contribute to the design and analysis of core Health IQ products and services Communicate complex quantitative analyses in a clear, precise, and actionable manner to management and executive-level audiences while building being relationships with their partners Collaborate with business leaders to understand business opportunities and formulate analytical solutions for problem-solving; working alongside other analytic individuals and team Design innovative algorithms and machine-learning approaches for handling some of the most challenging and interesting datasets in today’s insurance industry Provide thought leadership on the practical application of machine learning and advanced analytical methods and cultivate a data-driven culture across the company Deliver clean, reusable, and scalable code Work closely with Data & Engineering to deploy models The Senior Data Scientist must also be able to. Qualifications: BS/MS/PhD in Computer Science, Math, Statistics, Economics or in any technical field that provides a solid basis for analytics 4+ years of experience in data science, statistics, computer science, or mathematics where you designed, developed, evaluated, and deployed predictive modeling, machine learning, and advanced analytics Extensive experience solving analytical problems using quantitative and qualitative approaches Experience with state-of-the-art techniques in machine learning algorithms, including deep neural networks, NLP, dimensionality reduction, ensemble methods, graph algorithms Excellent communication skills and experience in working with stakeholders Strong prioritization skills, while being dynamic and agile The Senior Data Scientist must be proactive and work with a sense of urgency Ability to advise one or more areas, programs or functions Join the Health Conscious Workplace of the Future To make the world a healthier place, we started in our backyard. We created a health-conscious environment that allows each of our employees to reach their personal health goals. Below are a few of the employee-led programs that make working at Health IQ truly unique. 1. Nutritionally Supportive Environment Anyone who has tried to stay healthy knows it’s hard to stick to your particular nutritional goals throughout the day with soda, chips, and sugary treats all around you. So we provide our employees with quality food and snack options, like a limitless supply of organic nuts, fruits, and veggies instead. 2. Optional Fitness Time Instead of the usual ping pong table, we’ve dedicated space for our employees to enjoy yoga, spin bikes, exercise equipment, and other wellness activities. We believe a healthy body is at the core of a healthy mind, so whether it’s time for a walk, using the exercise equipment, or daily meditation, we make it easy. 3. Casual Office Attire Ever dream of coming to work in your casual fitness attire? Well, that's how we roll at Health IQ! Be comfortable and let your fitness fashion shine! 4. Like-Minded Coworkers At the end of the day, we are a business-minded insurance company and we use analytics to measure our success and drive our business. Coming to work and working hard however is much more fun when you are surrounded by like-minded people who are motivated by the same personal goals as you. Our employees are making friends that will last a lifetime. 5. Motivate and Compete Many of our employees are current or former athletes who are competitive and like to win. They motivate each other to do their personal best every day, and together we win as a team and as a company! 6. Excellent benefits We pay 100% of our employees' costs toward medical, dental and vision insurance. Are You Ready to Join The Movement? Health IQ is the internet's fastest growing online Insurance Company in the US. In the last few years, we’ve gone from 0 to $24B in coverage, 0 to 230 employees, 0 to $139MM in venture capital raised. Why is our product selling so fast? We have a data advantage. Health IQ spent 6+ years gathering the science and the proprietary data from our popular Health IQ test (taken 10.2 million times) to convince insurance carriers to give lower rates on life insurance for vegans, marathoners, triathletes, well-controlled diabetics, yogis, Crossfitters, and more. These special rates are exclusive to us saving consumers thousands of dollars each and rewarding them for living a healthy lifestyle. Hyper-growth means hyper opportunity for employees! While many companies hire managers externally or use a tenure system, we pride ourselves on our cultural value of meritocracy. This means that as we grow and new positions are created, we look to promote our top performers from within. Today over 80% of our managers are promoted from internal roles. Health IQ believes that everyone can make an impact, and we are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information. If you require an accommodation to complete the application or the interview process, please contact talent@healthiq.com. To learn more visit https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf

Health IQ 3.9

Dallas, TX

Mountain View, CA

201 to 500 employees

Company - Private

Insurance Agencies & Brokerages

Insurance

Unknown / Non-Applicable

-1

Health IQ

TX

Data Scientist - Health Data Analytics

$110K-$175K (Glassdoor est.)

At Nuna, our mission is to make high-quality healthcare affordable for everyone. We are dedicated to tackling one of our nation's biggest problems with ingenuity, creativity, and a keen moral compass. Nuna is committed to simple principles: a rigorous understanding of data, modern technology, and most importantly, compassion and care for our fellow human. We want to know what really works, what doesn't—and why. Nuna partners with healthcare payers, including government agencies and health plans, to turn data into learnings and information into meaning. YOUR TEAM Nuna's Meaningful Matches product strives to improve cost, quality, and patient satisfaction by guiding patients to the right primary care physician (PCP) for their healthcare needs. To do this, we've built a data processing pipeline that combines the state of the art in provider performance measurement with machine learning and optimization. We serve our match recommendations to clients via API endpoints that they can seamlessly integrate with their existing tech, allowing us to positively impact the lives of hundreds of thousands of patients at a time. YOUR IMPACT You will join a growing cross-functional team focussed on scaling and building out new product features and deploying them to new clients. You will partner with Product, Engineering, Design and Account Management across the full product lifecycle. You will have an opportunity to guide the client in making key decisions on configuring the product to achieve their organization's specific business objectives. You will help to ensure that the client's needs are being met and guide them in providing the data and technical requirements for successful deployment. YOUR OPPORTUNITIES Identify and understand client's needs and objectives in implementing meaningful matches. Prioritize new product interfaces and dashboards that will help to streamline your work and the deployment process. Solicit, interpret, and document client business requirements and help client come to algorithmic configuration decisions: Work with the rest of the product development team ensure that these requirements can be implemented in the solution and/or work with client to determine alternative paths Collaborate with product, client management, data engineering, development teams, and the client to verify and validate that implementation is correct and complete from every stage of implementation from data onboarding to system integration. Collaborate with other Data Scientists to estimate the improvements in health outcomes that clients can expect from implementing our product, and present those findings to the client. YOU BRING Bachelor's degree or above in quantitative or engineering fields (Statistics, Economics, Mathematics, Health/Medical Informatics, Computer Science, or similar) 3+ years of experience with healthcare and health data, have a passion to connect with, understand, and shape the healthcare industry. Strong oral and written communication skills with audiences of varying levels of technical sophistication Detail oriented. Proficiency in SQL Experience implementing and interpreting the results of statistical models BONUSES Experience with Enterprise Software Deployment Client-facing experience strongly preferred Nuna is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetics and/or veteran status.

Nuna 4.2

San Francisco, CA

San Francisco, CA

51 to 200 employees

Company - Private

Enterprise Software & Network Solutions

Information Technology

Unknown / Non-Applicable

-1

Nuna

CA

Data Engineer 5 - Contract (Remote)

$74K-$140K (Glassdoor est.)

Purposes This is a remote contract position that works with multiple departments throughout the organization to take their data and transform it into information that will allow them to make better decisions. The data engineer is responsible for gathering requirements, design, creation and support of the data warehouse. This individual works with divine guidance to provide or support technology that furthers the mission of the Church and reflects the eternal impact of the gospel. Responsibilities Proven ability to resolve complex problems under pressure Comprehensive knowledge of engineering best practices Strong operational understanding and discipline Ability to resolve security issues and requests and implement improvements Expert dimensional data modeling skills · Ability to quickly learn new tools and technology Advanced problem solving, analytical, and diagnostic skills Excellent documentation, presentation, and communication skills Highly skilled in developing ETL code, can manage the ingestion and cleansing of large sets of structured and unstructured data Strong knowledge of the algorithms used for regressions, clustering, classification, forecasting, and constructing graphs This job operates in a professional office environment To successfully perform the essential functions of the job there may be physical requirements which need to be met such as sitting for long periods of time and using computer monitors/equipment Qualifications Education: · Bachelor's degree in related field or equivalent professional experience. Master’s degree preferred. Work Experience: · 8+ years of data warehouse experience · 3+ years of industrial grade experience in data science, including machine learning and NLP · Experience evaluating industrial grade experience in data science, including machine learning and NLP · Proven track record of completing multiple data science projects end to end, from idea generation to implementation in production systems (warehouse, or applications) · Extensive professional experience in data analysis and report design/development · Professional experience in presentation/interface creation Demonstrated Skills & Abilities: · Exceptional communicator; both written and verbal · Outstanding troubleshooter Worthiness Qualification Must be a member of The Church of Jesus Christ of Latter-day Saints and currently temple worthy. Posting Notice/More Info. Please Note: All positions are subject to close without notice. Find out more about the many benefits of Church Employment at http://careers.churchofjesuschrist.org. ]]>

The Church of Jesus Christ of Latter-day Saints 4.2

Riverton, UT

Salt Lake City, UT

10000+ employees

Nonprofit Organization

Religious Organizations

Non-Profit

Unknown / Non-Applicable

-1

The Church of Jesus Christ of Latter-day Saints

UT

Senior Scientist - Neuroscience

$100K-$190K (Glassdoor est.)

Sunovion Pharmaceuticals is looking for a Senior Scientist in Neuroscience to join our Discovery Sciences Department in Marlborough, MA. As a member of the Discovery Sciences Department, this position will be responsible for designing and managing in vitro and in vivo studies to characterize the biological activity of novel small molecule drug candidates for the treatment of neuropsychiatric and neurological diseases. The position requires broad scientific expertise in the design of behavioral, molecular and imaging studies in rodents with the ability to interrogate the results to develop neurocircuit & pathway-based hypotheses of drug mechanism of action. Responsibilities include the management of experimental studies conducted through external research partners, as part of our strategy of a flexible business model for drug discovery. The successful candidate will have demonstrated a track record of accomplishments showing successful application of the technical skills required to probe the involvement of specific neurocircuits in experimental systems. Excellent resource management skills and the ability to initiate and maintain effective working relationships with CROs and academic collaborators are essential. This position will work closely with colleagues in medicinal chemistry, safety/toxicology and translational medicine and development and may also lead discovery projects/initiatives. Essential Functions: Applies technical expertise to design & conduct studies to support the development of novel small molecules for psychiatric and neurological conditions. Develops mechanistic and hypotheses and delivers research results to enhance understanding of mechanism of action & effects on neurocircuits. May lead discovery projects/initiatives. Manages external relationships with CROs, research partners and academic institutions to deliver high impact neurocircuit-based and pharmacology results. Manages research related documentation including study plans, data files and scientific reports supporting regulatory filings. Seeks and develops new external relationships to apply new technologies to CNS discovery programs (especially related to systems-neuroscience approaches). Works in project teams with medicinal chemists, pharmacologists, preclinical safety and translational medicine scientists to advance novel agents into development. Communicates research results to internal and external stakeholders including collaborators, key opinion leaders and partners at Dainippon Sumitomo. Minimum Education, Experience, Knowledge and Skills Required: PhD with at least 3 years post-doctoral research experience in neuroscience research. Expert in the technical application of in vivo rodent behavioral assays and interrogation of neurocircuits such as the following: optogenetics, electrophysiology (in vivo and/or slice preparations), calcium imaging, microdialysis, standard in vivo behavioral paradigms in rodents. Experience with neuroimaging tools and techniques used to develop mechanistic hypotheses of drug action, eg Light-sheet microscopy, confocal microscopy, PET-imaging, fMRI, and analyses of large data sets. Knowledgeable in other in vitro/in vivo techniques (e.g. receptor pharmacology) and basic molecular techniques (e.g. IHC, ISH, etc.), and able to utilize a wide range of in vitro/in vivo technique to develop successful research strategies to probe mechanism of action. Demonstrated record of accomplishments showing technical & research accomplishments and the ability to work collaboratively with external organizations. Ability to work on computers for extended periods, robust data analysis skills and proficiency with professional software and statistical and imaging tools are required (e.g. MATLAB, R, Python, Imaris, Neurolucida, etc.). Must have excellent oral and written communication skills and an innovative spirit with capacity for generating new ideas. Confidential Data: All information (written, verbal, electronic, etc.) that an employee encounters is considered confidential. Compliance :Achieve and maintain Compliance with all applicable regulatory, legal and operational rules and procedures, by ensuring that all plans and activities for and on behalf of Sunovion are carried out with the "best" industry practices and the highest ethical standards. Mental/Physical Requirements: Fast paced environment handling multiple demands. Must be able to exercise appropriate judgment as necessary. Requires a high level of initiative and independence. Excellent written and oral communication skills required. Requires ability to use a personal computer for extended periods of time. Confidential Data: All information (written, verbal, electronic, etc.) that an employee encounters is considered confidential. Compliance :Achieve and maintain Compliance with all applicable regulatory, legal and operational rules and procedures, by ensuring that all plans and activities for and on behalf of Sunovion are carried out with the \"best\" industry practices and the highest ethical standards. Mental/Physical Requirements: Fast paced environment handling multiple demands. Must be able to exercise appropriate judgment as necessary. Requires a high level of initiative and independence. Excellent written and oral communication skills required. Requires ability to use a personal computer for extended periods of time.

Sunovion 3.5

Marlborough, MA

Marlborough, MA

1001 to 5000 employees

Company - Private

Biotech & Pharmaceuticals

Biotech & Pharmaceuticals

$1 to $2 billion (USD)

Shire, GlaxoSmithKline, Allergan

Sunovion

MA

Senior Data Analyst

$43K-$80K (Glassdoor est.)

About the Role: The Senior Specialist, Data Analysis (a.k.a. Data Analyst) plays a critical role in the Chief Data Office (CDO). This role works with Clearinghouse data providers, like institutions and industry credential providers, to analyze, understand, and identify trends related to data submissions and longitudinal data integrity. Working closely with the Chief Data Officer, Research Center, Education Solutions, Customer Care, Data Excellence& Operations, and SaaS teams, this role analyzes, understands, and provides business requirements related to data integrity, data quality issues, and data visualizations. The primary focus of this role is to support the CDO and the Clearinghouse in data analysis and analytics activities needed across the enterprise. This role also serves as a mentor to junior team members in the CDO. The ideal candidate is driven, detailed oriented, passionate about data and technology, and has excellent communication skills. How You Contribute: Perform data analysis on file submissions coming from institutions and other Clearinghouse data providers to ensure data quality and data integrity. Understand how different data sources are combined to calculate aggregate data fields. Analyze how data intake specifications impact data quality and data reporting. Work with business areas of the Clearinghouse to identify and define business requirements for updating data intake specifications, data quality frameworks, or reporting to improve data integrity. Interact with and be a data analyst user of a Master Data Management tool for the resolution of data exceptions, data quality issues, or longitudinal data integrity issues. Define, track, and report on metrics related to data quality across the enterprise. Participate and provide input to the Data Governance Council on data quality and data integrity issues. Provide recommendations on business process improvements or software application enhancements to increase overall data quality. Provide feedback and guidance to external customers of the Clearinghouse on data intake specification and data quality issues that may impact their reporting and data visualizations. Mine data from primary and secondary sources, then reorganizing data in a format that can be easily read by either human or machine. Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts. Understand the business and be able to interact with senior and executive leaders by providing data analysis and data visualization reports or dashboards that can support data-driven business decisions. Support reporting and analytics functions for both internal and external stakeholders, including guiding others in the enterprise to achieve reporting and analytics self-sufficiency. Utilize Excel, SQL, and BI tools and dashboards to perform data analysis work. Provide user acceptance testing support for data initiatives. Perform multiple tasks simultaneously and successful perform under changing requirements and deadlines. Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork. Demonstrate NSC’s competencies, which align with our corporate value Core Competencies include: Customer Focus, Optimizes Work Processes, Collaborates, Communicates Effectively, and Be Open and Authentic Manager will provide more detail to candidates as needed. Position may be required to perform other duties as required. These essential functions are representative of those that must be met by an employee to successfully perform the job. Reasonable accommodations will be made to enable individuals with disabilities to perform these essential functions. What You Bring to the Table: A passion for a career in data and technology. A Bachelor’s degree in Data Science, Math, Finance, Statistics, Information Management, Computer Science, Engineering, Economics or an equivalent field. A combination of education and experience including through military service, will also be considered. 5-8 years of experience in technical settings requiring knowledge of data structures and database querying techniques. 5+ years working in a data analyst or analytics role. Experience with Alation, or other data catalogue tools, and with data visualization tools (Tableau, OBI EE, Cognos, MicroStrategy, or Microsoft Power BI). Demonstrated ability to: Work in a fast-paced environment, on a team, and achieve results in a team environment. Adapt to changing priorities and procedures and remain poised under pressure. Identify problems and provide resolutions, and detailed oriented. Highly customer centric, service oriented with the ability to understand, execute, and meet customer's expectations. Excellent communication, and presentation skills with the demonstrated ability to communicate across all levels of the organization and communicate technical terms to non-technical audiences. Proficiency in with Microsoft Office Suite. Fluency in SQL. Live within a commutable distance of Herndon, VA. Additional Desired Requirements: Programming knowledge in Python or R. Knowledge of Master Data Management (MDM) tools. Physical Demands: Use of a computer for 8 or more hours a day. Use of a copy machine and telephone. Frequently required to sit for 7 or more hours per day in close proximity to others in an open office environment. Occasionally required to use hands and fingers to operate, handle, and reach. Vision abilities include close vision and the ability to adjust focus. Must be flexible to work after business hours and on weekends, when necessary. Travel via car, train, and/or airplane, when needed.

National Student Clearinghouse 2.9

Herndon, VA

Herndon, VA

201 to 500 employees

Nonprofit Organization

Colleges & Universities

Education

$25 to $50 million (USD)

Ellucian, Parchment, College Board

National Student Clearinghouse

VA

Medical Lab Scientist

$17-$24 Per Hour(Glassdoor est.)

Overview About Tower Health is a strong, regional, integrated healthcare provider/payer system that offers leading-edge, compassionate healthcare and wellness services to a population of 2.5 million people. Together, our six hospitals and other entities provide a full range of medical care from prevention, screenings and education; to the latest clinical services and surgeries available; to rehabilitation. We also offer wellness programs and public health services that ensure our communities are the healthiest they can be. Our caring, highly trained physicians and staff are committed to patient safety and patient satisfaction. Who We Are With more than 12,000 team members, Tower Health includes Reading Hospital, a teaching hospital based in West Reading; Brandywine Hospital in Coatesville; Chestnut Hill Hospital, a teaching hospital in Philadelphia; Jennersville Hospital in West Grove; Phoenixville Hospital in Phoenixville; and Pottstown Hospital in Pottstown. We also operate Reading Hospital Rehabilitation at Wyomissing and Reading Hospital School of Health Sciences, and we have a comprehensive physician network. Collaboration across Tower Health enables our hospitals, providers, leadership and staff to leverage best practices across the health system. Our patients benefit from access to a broad range of services all right here in our region. #LI Responsibilities The Medical Laboratory Scientist is responsible for obtaining or receiving specimens, performing clinical laboratory tests by standardized procedures, understanding method principles, performing quality control, performing preventive maintenance, and interpreting results accurately, acceptably and within critical limits. The MLS works independently, organizing work to meet established deadlines and validates all data obtained. Qualifications Bachelor's Degree: Baccalaureate Degree in Medical Technology, Clinical Laboratory Science, Medical Laboratory Science or related science (Required) Minimum of 1 year of experience Certification and Licensure Requirements. MLS (ASCP) (Preferred) To Be Discussed 2-Evening

Tower Health 3.6

West Reading, PA

Reading, PA

5001 to 10000 employees

Nonprofit Organization

Health Care Services & Hospitals

Health Care

Unknown / Non-Applicable

-1

Tower Health

PA

Risk and Analytics IT, Data Scientist

$91K-$149K (Glassdoor est.)

OUR AGENCY Making a Difference SWIB is a trusted and skilled global investment organization managing the assets of the Wisconsin Retirement System (WRS) and other separately managed funds. With about $129 billion in total assets under management, SWIB has been recognized by the investment industry for its teamwork and innovation that helps make it a premier asset manager. Sophisticated investment management strategies, forward-looking technologies, and strong internal asset management make SWIB a leading investment organization. For public employees in Wisconsin, SWIB is a unique and valuable partner. Investing for the financial security of more than 635,000 individuals and for the 1,500 Wisconsin employers who contribute on behalf of their employees SWIBs strong management of the WRS has helped fuel one of only a few fully funded public pension funds in the country. SWIBs long-term investment returns meet the challenges of a constantly evolving investment landscape while helping grow and protect the assets of the WRS, the 8th largest public pension fund in the U.S. and 25th largest public or private pension fund in the world. We are a mission driven organization and the participants we serve are our mission. By bringing a disciplined, prudent and innovative approach to market opportunities, SWIB has been successful in generating respectable returns and maintaining the trust of the beneficiaries and stakeholders of the funds we oversee. Join HIGHER PERFORMERS Home to Top Talent SWIB has long been recognized as an investment leader because of its success in maintaining the WRS and for the highly-qualified staff overseeing the retirement trust funds. SWIBs internal team invests a majority of its assets under management. This means SWIB is committed to investing in professionals that will keep the organization at the forefront of the investment industry. As an innovative organization, SWIB offers professional development opportunities that enable staff to grow and develop. Approximately 61 percent of SWIBs investment professionals are Chartered Financial Analyst (CFA) charterholders. About the Team Partner with, build, maintain, enhance and manage the data and technology for the Asset and Risk Allocation (ARA) division which is responsible for the overall investment structure of the Core and Variable Trust Funds. ARA recommends and implements the asset allocation for the policy portfolio, recommends and implements the active risk budget, and is responsible for overall risk monitoring and management. The Risk and Analytics IT department primarily partners with the Asset & Risk Allocation team as well as work with other internal divisions. There will be opportunities to apply skills in both technology and finance. This role offers a unique opportunity to learn and contribute to the technology and the business through technology. Essential activities: Creating reporting, decisioning systems or outputs, performing rapid analysis on data issues, and instrumenting the system with data quality rules to proactively catch and prevent issues, creating enriched and enhanced datasets with advanced data manipulation and modeling skills, use of primarily Oracle, SQL Server, Snowflake, Python, delivering risk, return, cost metrics and partner with various internal departments to improve the overall state of technology and operations, architecting, developing, testing, documenting and supporting software and technical solutions for the SWIB ARA team as well as other teams, assess and revisit inventory business logic, calculations and reporting, leveraging SQL, Python and communication skills in various avenues, instrument data quality rules and metrics in the system. Technical Skills: Oracle SQL, SQL Server Snowflake (or some equivalent datastore tool) Python experience JIRA and Confluence Alteryx (or some equivalent ETL tool such as Informatica) PowerBI (or some equivalent BI tool such as Tableau) Data Skills: SQL development ETL (Extract Transform load) exposure Python experience Financial Knowledge recommended but candidates in other industries highly recommended to apply: Understanding of multi-asset products is desirable Comprehensions of risk, return and cost metrics in industry is desirable Exposure to the investment management lifecycle is desirable The ideal candidate: 5-10 years experience in data analytics, data science, or related fields Bachelor's degree or advanced degree in finance, quantitative finance, or another related field Ability to take various questions gathered from the business leveraging existing data as well as improving upon that data to deliver complete, consistent and precise answers Experience in working with/understanding the various lifecycles of data management, extraction, loading, transformation to its applications in analysis, research and solving problems Extensive knowledge in composing Oracle SQL, SQL Server queries, data modeling, and having a SQL and analytics background Experience in identifying use cases for the business, contributing to analysis and understanding of existing data models with iterative recommendations on improvement resulting in some improvement in risk, return or cost for the organization Extensive knowledge of data extraction, transformation and loading Experience refactoring SQL queries, use of Python Experience working with large structured and financial data sets Ability to follow rigor in creating/updating documentation, maintain process (i.e. JIRA tickets) and following technology and business best practices Ability to present and communicate well and connect business and technology Ability to tactically understand results in context (i.e. when does something look wrong), and strategically how to resolve those issues via data quality and rule-based instrumentation Interest in newer data technologies, Snowflake programming, i.e. Python Interest or experience in investment management, quantitative finance and technology Background in Agile methodologies and their applications SWIB Offers: Competitive McLagan-base salary Meaningful performance-based incentive compensation A comprehensive benefit package Educational and training opportunities Tuition reimbursement Challenging work in a professional environment The position requires U.S. work authorization and residency in, or willingness to relocate to the Madison, Wisconsin area. SWIB is prepared to offer relocation assistance as needed.

State of Wisconsin Investment Board 2.7

Madison, WI

Madison, WI

51 to 200 employees

Government

Investment Banking & Asset Management

Finance

$50 to $100 million (USD)

-1

State of Wisconsin Investment Board

WI

Scientist, Analytical Development

$42K-$82K (Glassdoor est.)

Rubius Therapeutics is a clinical-stage biopharmaceutical company that is generating red blood cells and engineering them into an entirely new class of allogeneic, off-the-shelf cellular medicines. Our Red Cell Therapeutics™ can potentially be used to replace missing enzymes for patients living with rare enzyme deficiencies, kill tumors in cancer and regulate the immune system for the treatment of autoimmune diseases. We expect to begin enrolling patients in our first clinical trial during the first half of 2020, which is evaluating RTX-134 for the treatment of phenylketonuria, an inherited metabolic disorder. Additionally, we have filed our first oncology IND for RTX-240 for the treatment of solid tumors. We plan to file an IND for RTX-321 for the treatment of HPV-Positive Tumors by year-end. We are proud of our passionate, high-performance culture – one based on a set of values that are the cornerstone of who we are and how we hold ourselves accountable. Founded in 2013, we are based in Cambridge, MA and currently expanding across all functions within the organization. Having completed our initial public offering in July 2018, (Nasdaq: RUBY), we are well capitalized to execute our vision of creating life-changing cellular medicines. Red blood cells are no longer just for carrying oxygen. Check us out at www.rubiustx.com or follow us on Twitter and LinkedIn. Summary We are seeking an experienced and motivated Scientist for bioanalytical characterization to support RCT drug product development. This position will focus on developing analytical methods for characterizing cellular drug product and viral vector drug substance and identifying Quality Product Attributes, process-related and product-related impurities. The candidate will be responsible for experimental design, data analysis, technical reports and authoring CMC sections of the regulatory filings. The candidate will also represent Analytical development in the cross-functional CMC teams and drive analytical strategy and be accountable for project timelines. Expertise in developing and qualifying molecular and cellular biology assays is required. The ideal candidate will be a highly motivated individual who leads from the bench and enjoys having broad responsibilities and opportunities to work independently on various aspects of the cell therapy production platform. Responsibilities Understands project timelines and deliverables and plans/coordinates project work accordingly with departmental, functional and external stakeholders Designs and executes experiments to characterize RCT drug product for protein expression, cell metabolism and lipid structure and function Identifies critical product quality attributes in RCT drug product through forced degradation and structure-function related studies. Characterize process and product related impurities in cell product and viral vector in collaboration with process development teams Contributes significantly and independently to project work which may include multiple projects within functional area. Reviews, interprets and communicates data cross-functionally within CMC and/or project teams. Serves as a technical mentor for junior staff and leverages technical expertise as a functional resource/trainer. Assists with development of project strategy and communicates complex data/decisions within department and cross functionally as necessary Participate in the support of analytical activities at CMOs and CTOs related to analytics including method qualification, data trending, troubleshooting, optimization, review and reporting Proactively analyses manufacturing issues and coordinates potential resolution with the CMC team. Responsible for integrating scientific/technical efforts around cross-functional issues Qualifications & Education PhD in biochemistry, cell and molecular biology or related pharmaceutical science; 0-2 years relevant industry experience Extensive knowledge of hematopoietic stem cell biology and/or red blood cell physiology is strongly preferred Experiences in developing and executing cellular characterization assays and demonstrated expertise in one of the following areas - flow cytometry, qPCR, multiplexing soluble protein platforms, RNA sequence and/or single cell characterization platforms or mass cytometry. Understanding of viral transduction process and viral analytics is strongly preferred Understanding and experience of analytical assay validation is a plus. Previous exposure to GMP manufacturing of cell therapy or biological products, or participation in technical transfer of clinical processes to a CMO, or tech transfer of product release & characterization or clinical assays to a CRO, or other third party is a plus EEO Statement: Rubius Therapeutics is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. Recruitment & staffing agencies: Rubius Therapeutics does not accept agency resumes unless contacted directly by internal Rubius Talent Acquisition. Please do not forward resumes to our careers@rubiustx.com account, Rubius employees or any other company location; Rubius Therapeutics is not responsible for any fees related to unsolicited resumes.

Rubius Therapeutics 4.4

Cambridge, MA

Cambridge, MA

201 to 500 employees

Company - Public

Biotech & Pharmaceuticals

Biotech & Pharmaceuticals

$100 to $500 million (USD)

-1

Rubius Therapeutics

MA

Senior Data Scientist

$116K-$185K (Glassdoor est.)

Location: San Francisco, CA- United States Job ID: 20WD38094 Position Overview Autodesk is seeking a Senior Data Scientist to join our Data Platform & Insights organization. The organization is chartered with building innovative data products and analytics solutions for Autodesk’s strategy, product, marketing, sales and customer support teams. This critical data scientist role will help us make machine intelligence an integral part of how Autodesk makes decisions and designs and builds its products. You will work alongside a product development team and apply data mining, analytics and machine learning methods to understanding how customers use, adopt and achieve successful outcomes with our products. The ideal candidate is a strong data scientist who thinks outside the box, is naturally curious, highly collaborative, and has a passion for tackling complex data-centric problems. Responsibilities Work on a variety of problems that seek to better understand how customers use their products and what drives deeper adoption and usage of products Apply your quantitative analysis, data mining and machine learning expertise to building models that make sense of user needs, usage patterns, factors that drive deeper adoption and contribute to subscriber churn Influence product development, strategy and roadmap prioritization Design and implement machine learning pipelines that improve Autodesk’s evidence-based decision-making capabilities Tackle complex problems requiring a creative mindset to find innovative and elegant solutions Minimum Qualifications BS/MS/PhD in the fields of: Mathematics, Physical Sciences, Statistics/Analytics, Computer Science, or other relevant fields Experience working with relational SQL and/or NoSQL databases Experience working with big data platforms (Hadoop, Spark, Hive) Fluency with one or more programing language: Python, Java, Scala, etc. Good understanding of CS fundamentals, e.g. algorithms and data structures Experience in statistical programming tools such as R, Matlab, SAS, Python data science toolkits, etc. Experience with data science toolkits like pandas, Jupyter, scikit, TensorFlow, etc. Familiarity with Statistics concepts and analysis, e.g. hypothesis testing, regression, experimental design, etc. Familiarity with Machine Learning techniques, e.g. classification, clustering, regularization, optimization, dimension reduction, etc. Good communication skills and ability to explain complex topics to both technical and non-technical audience as well

Autodesk 4.0

San Francisco, CA

San Rafael, CA

5001 to 10000 employees

Company - Public

Computer Hardware & Software

Information Technology

$2 to $5 billion (USD)

-1

Autodesk

CA

Analytics Manager

$59K-$116K (Glassdoor est.)

Responsible for both high level and granular measurement of public and private variable marketing programs. Provide 1:1 program insights with regard to campaign offer performance and efficiency, audience segmentation and performance, ROI that drive future strategy Provide Omni-channel performance metrics. Consult with modeling team to insure past program performance informs future audience modeling efforts. Assist with program business case development. Produce quarterly reporting of campaign results as well as additional ad hoc requests. Oversee team members work as needed. Multi-task across various programs and activities simultaneously Must have: Subject Matter Expertise in 1:1 marketing program measurement Knowledge of SQL, Alteryx, and Microsoft Office preferred. Familiarity with A/B testing or experimental design (i.e., treated/control groups) is also helpful. Past experience analyzing marketing campaign results (e.g., incremental sales, net profit, ROI) Ability to query, join, and manipulate data (e.g., create new variables as needed) Experience meeting with clients directly to understand business needs and discuss findings Ability to create PowerPoints containing graphs and insights into findings Customer profiling experience Ability to present findings to the client and team meetings Additional Job Description · Highly proficient utilizing SQL and Alteryx, tableau, Qlik, etc. to manipulate, arrange, query and present data · Experience with complex problem solving – data manipulation, data quality, data modeling,statistical analysis and/or reporting · Excellent interpersonal skills with people at all management and organizational levels · Ability to respond in an effective and timely manner · Subject matter expert in an analytics specialty · BA / BS in Statistics, Mathematics, Econometrics or computer science · Min 5-year experiences as analytics team lead or manager OneMagnify is an Equal Opportunity Employer.

OneMagnify 4.3

Dearborn, MI

Detroit, MI

201 to 500 employees

Company - Private

Advertising & Marketing

Business Services

Unknown / Non-Applicable

-1

OneMagnify

MI

Data Engineer

$48K-$95K (Glassdoor est.)

IZEA was built to connect the world’s top brands with influential content creators and publishers to enable influencer marketing and content production at scale. With over 500,000 Creators reaching over 3 billion fans and followers around the globe, IZEA is unmatched in its industry experience, network diversity, and technology ecosystem. A career at IZEA offers countless ways to make an impact in a fast-growing organization! IZEA is looking for a Data Engineer to join our Core Technology group in Winter Park, FL. You will use the latest tools and technology to build and support IZEA's industry-leading data initiatives. Whether contributing to our data pipelines that ingest millions of records per hour, distilling vast amounts of data into meaningful insights, or operating the services that surface those insights, you will help define what the future of Influencer and Content Marketing looks like. You will have direct access to end-users and stakeholders, and you are encouraged to build and leverage these relationships in your work. You will write and test your code, and work with our QA team to get it deployed to production. With the help of a homegrown, bot-driven CI/CD pipeline, your code will be delivered to users daily. This cross-functional team leverages Amazon Web Services for everything from ECS for containerized virtualization and hosting, to S3 for durable object storage, RDS and DynamoDB for persistence, EMR for the batch processing of billions of records, and Lambda for distributed workloads and stream consumption. Aside from the day to day, we can offer you incredible benefits including an annual continuing education budget, a trust-focused development process, a flexible and collaborative work environment where balance matters, stock ownership, and an annual company retreat. The team strives to be ego-free and motivated only by building amazing software for our users. We seek to understand the "why" behind the "what". We regularly break out into small teams to tackle problems, learn new technologies, or just share what we know with others. We test our code and invest in the health of our systems. We push each other, learn from each other, and strive to continually grow. Primary Responsibilities You will... Work with stakeholders to define the solutions to development problems and business requirements Develop and maintain the features and capabilities of our data ingestion pipelines Extract actionable and impactful insights from vast amounts of data Develop and maintain the services that surface those insights and make them available for consumption in a performant manner Create unit and integration tests for your code Reproduce and fix bugs reported by internal and external users Set goals and communicate often about your progress toward them Contribute to the ongoing improvement of the engineering organization and our software What We’re Looking For A problem solver at heart Much of our work revolves around problems that have no existing off-the-shelf solution or consensus on best practices. You'll often need to break down large problems into smaller more manageable tasks and utilize critical thinking to come up with novel ideas. 3+ years of engineering experience Things move quickly in the data group. You’ll need to be comfortable and familiar with delivering highly scalable cloud based applications. Professional experience with frameworks like Hadoop, Spark, or similar This will be a significant component of your responsibilities. You will be working with large data sets in a distributed environment on a daily basis. Familiarity w/ the Hadoop/Spark ecosystem is a must. Professional experience with Python data tools Our data team uses PySpark and Jupyter notebooks extensively. Familiarity with these technologies will also serve you well. Direct experience with relational and NoSQL databases technologies We use the best tool for the job around here. When it comes to storing and accessing data, we recognize that the technology decisions we make directly impact our ability to provide a performant customer experience, and our own costs. Experience designing and building JSON based RESTful APIs Because we are building our application with a front end framework, we carefully design and document the APIs to power it. To help us, we follow the JSON API spec, but any experience in building a RESTful API will be useful. Remember, the API is your contract with the consumers of your data! Understanding of monolithic and micro-service based architectures IZEAx still has some legacy monolithic characteristics. We move more and more of our technology to a distributed set of services, there are new challenges to overcome. Understanding the differences between these two models will help you take those challenges head on. Basic Linux skills In order to develop our data pipelines and services, you need to run it on your laptop. This means opening up some terminal windows, running some commands, and keeping the log output open. Additionally, some of our technology stack is better accessed through CLIs. Examples include the Ember CLI, the Rails CLI/console, Docker commands, Gradle, and our own CLIs. We'll walk you through it, but you should be comfy in a terminal. Ability to multitask and prioritize multiple incoming requests IZEA's Engineering team strives to provide a great experience and great service to our users. In order to do that, you may need to context switch into a support issue or drop what you are doing to start work on something else. This is part of what Agile means to us. Excellent verbal and written communications skills Regular and timely communication is the key to a trust based development process. You should be able to simply and concisely ask for feedback and direction in terms that your audience understands, and relay requested information in a timely fashion to your leaders. You should prioritize documentation of processes and code. Demonstrated experience with the following will be highly valued Data Science Background While not required, a fundamental understanding of statistics and modeling would be a great asset. Practical experience with Machine Learning and/or complex data pipelines would also be welcome. Front End development experience From time to time you may need to build visualization, or (lite) user facing experiences. Familiarity with modern web frameworks like Angular, React, Ember, or Vue would be helpful. Extra bonus points if you have familiarity w/ Javascript based visualization libraries like d3.js or Highcharts. Amazon Web Services, or other cloud providers IZEA's software is hosted on AWS, and you will need to acquire some familiarity with it. Previous experience in using a cloud provider, even if just for developer tooling, shows that you understand some of the nuances involved in working in the cloud. Familiarity with Amazon’s EMR would also be an asset. Continuous Integration & Deployment IZEA needs to get features and fixes out to customers as soon as we possibly can with as much confidence as possible. To facilitate this, we have developed a CI/CD pipeline (using 3rd party services). An understanding of what CI/CD is will help you understand how this pipeline works and how to make it even better. GitHub All of IZEA's code is source controlled on Github. We leverage Github Pull Requests for code reviews, Github integrations manage parts of our CI/CD pipeline, and Github releases define the code tags that ultimately get deployed. Much of our process documentation exists on Github pages. Familiarity with navigating Github's features will help you ramp up in our SDLC faster. JIRA IZEA uses JIRA to manage projects and report on progress to stakeholders inside and outside the company. While we strive to automate as much of JIRA as possible with bots, webhooks and reports, understanding how JIRA issues, links, attachments, and workflows work will help you understand our SDLC faster. About IZEA: We are IZEA: The Creator Marketplace. Our cloud-based technologies connect Brands and Publishers with content Creators who blog, tweet, pin, and post on their behalf. Our driving belief is that the only way to thrive in our rapidly changing world is to change ahead of it. IZEA is in a constant state of evolution and reinvention. While we may have invented the industry, we still operate like an entrepreneurial, scrappy start-up. Your time here will be exciting, educational, and at times, a bit crazy. With IZEA, you have the opportunity to join a non-traditional corporate culture, where creativity and productivity are valued over a suit and tie. We call it "The IZEA Way." Why would you want to work here? Our developers use the latest tools and technology to build the applications and services that make up the IZEA Exchange platform. We write in whatever language we need to get the job done including Ruby, Java, Python, PHP, Swift, and Javascript. We leverage the latest frameworks, such as Rails, Symphony2, and Drop Wizard for iterating quickly on our technology. Our code is deployed and operated by the people who write it, with the help of Amazon Web Services. We leverage everything from EC2 for virtualization and hosting, to Amazon EMR and Machine Learning for advanced analytics. Aside from the day to day, we offer incredible benefits including an annual continuing education budget, a flexible trust-focused development process, and an open collaborative work environment. Our team is ego-free and motivated to build great software. We regularly break out into small teams to tackle problems, learn new technologies, or just share what we know with others. We test our code and invest in the health of our systems. We push each other, learn from each other, and strive to continually grow as a team. California residents, please follow this link to view the types of information we may gather from California residents who are applicants, employees, or contractors of IZEA, and how we use such information.

IZEA 4.2

Winter Park, FL

Winter Park, FL

51 to 200 employees

Company - Public

Advertising & Marketing

Business Services

$25 to $50 million (USD)

Linqia, Collective Bias

IZEA

FL

Digital Marketing & ECommerce Data Analyst

$31K-$72K (Glassdoor est.)

Digital Marketing & eCommerce Data Analyst IT BEGAN WITH A FLIP-FLOP. But not just any flip-flop. A sandal that revolutionized the industry, bringing biomechanical support to a quintessential summer staple. From these humble beginnings in Australia to the bustling San Francisco Bay Area, Vionic has grown from a fledgling business to a global footwear brand. We’re bringing together style and science and reimagining the look of supportive footwear. Vionic has been named a 2018 Gallup Great Workplace Award Winner, and is the only company recognized in the fashion and retail sector. Vionic is one of just 39 companies globally to receive the prestigious award, which celebrates companies that achieve exceptional performance by creating a culture of high-reaching employee engagement. Gallup has rated Vionic among the top 2% of all companies based on "Employee Engagement” exceeding the national average by 65 percentage points. We are also officially certified and recognized as a Marin/Bay Area/California Green Business. In a Nutshell The Digital Marketing & Ecommerce Analyst will provide strategic and analytic support for the eCommerce and Digital Marketing teams. The eCommerce Data Analyst will implement and maintain the eCommerce Dashboard and build best in class digital marketing analytics. They will passionate about diving into Google Analytics to find new learnings and opportunities that will optimize the website and digital marketing performance. The ideal candidate has a demonstrated drive for working with data to creatively and tenaciously solve complex problems. What You’ll Do: You’ll be the “go to” person for analysis and data for the Digital Marketing & Ecommerce team. You will set up custom reporting, funnels and analyze Google Analytics data to drive insightful learnings and testing opportunities to improve conversion rates and revenue. You will use your knack for communicating complex data analysis into easy to understand bullets to explain the “story” behind the numbers and share actionable recommendations You will partner with marketing and operations managers to design promo testing with a close to evaluate incremental return and margin impacts. Perform ad-hoc data analysis and create custom reports to service the needs of business partners and leadership teams. Create internal dashboards that automate key metrics and provide insights into performance within all aspects of eCommerce and digital marketing. Manage voice of customer data to find new and better ways of collecting and communicating customer feedback. Evaluate audience segmentation, creative and other marketing-related A/B tests and provide recommendations related to experiment prioritization. Develop models that drive metrics and Ecommerce business toward improved operations and profitability – i.e. demand forecasting. What You’ll Bring to the Team: Bachelor’s degree from four-year college or university in a relevant subject (Math, Finance, Economics, Digital/marketing Analytics or related field); Minimum of 1-3 years of full-time work experience in a highly analytical capacity, preferably an eCommerce environment. 2-3 years’ experience Advanced Google Analytics, certification highly preferred. Heavy experience with e-Commerce platforms such as Magento or similar highly preferred Can communicate complex data analysis in easy to understand bullets. Experience with digital media management such as AdWords, Facebook ads manager, Criteo, Pinterest, and the like. Experience with product purchasing analysis and audience segmentation. Self-starter with problem-solving skills. Experience with Microsoft Office Suite, with particularly advanced Excel skills (vlookups and pivot tables, other advanced formulas are a must.) Experience in the development of Ecom dashboards to weekly channel performance. How We Take Care of our People: We offer a fun and dynamic workplace with a robust benefits package. Once you become a regular, full-time employee you will have access to medical, dental, vision, 401K retirement plan with employer match, Long Term Disability, Life, and a generous amount of PTO. Fresh organic fruit and juices, wellness challenges, and celebrations abound, including Australia Day! You receive free shoes each season, and receive a seriously deep discount on our products because you will want more!

Vionic Group 3.6

San Rafael, CA

San Rafael, CA

51 to 200 employees

Subsidiary or Business Segment

Department, Clothing, & Shoe Stores

Retail

$100 to $500 million (USD)

-1

Vionic Group

CA

Sr. Scientist - Digital & Image Analysis/Computational Pathology

$105K-$198K (Glassdoor est.)

Job Description Are you looking for a patient-focused, innovation-driven company that will inspire you and empower you to shine? Join us as a Sr Scientist - Digital & Image Analysis/Computational Pathology at our recently dedicated San Diego Research Site. At Takeda, we are transforming the pharmaceutical industry through our R&D-driven market leadership and being a values-led company. To do this, we empower our people to realize their potential through life-changing work. Certified as a Global Top Employer, we offer stimulating careers, encourage innovation, and strive for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our global teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world. Here, you will be a vital contributor to our inspiring, bold mission. As a Sr Scientist - Digital & Image Analysis/Computational Pathology, you will be empowered to serve on project teams for discovery to development programs. OBJECTIVES/PURPOSE Lead the development of image acquisition and digital analysis capabilities that complement high-content cell phenotyping technologies being developed in our rapidly expanding translational laboratory. Embed within project teams to provide digital imaging, image analysis, and statistical support that drives the development of key GI drug assets throughout the life cycle of the project. Serve as an image analysis expert for translational strategy planning that efficiently drives projects from preclinical assessment up to early clinical implementation. We are a rapidly evolving translational research laboratory within the GI Drug Discovery Unit of Takeda with the goal of implementing innovative cell phenotyping capabilities that drive development of the next generation drugs for the treatment of GI disease. This position will provide an opportunity to lead the development and expansion of the digital analysis cornerstone that will serve as an essential component of an integrated effort between pathologists, translational researchers, and preclinical scientists. Insights gained from these informatics tools will be used to inform preclinical go-no go decision making, identify drug mechanisms of action, and identify predictive biomarkers that serve to rationally direct early clinical trial design. ACCOUNTABILITIES Advancing Imaging Analysis Capabilities Report to and work with the Translational Scientist to align the development of image analysis tools with high-content cell phenotype testing being conducted in our Internal and external laboratories Implement imaging analysis approaches and machine learning to improve appropriate segmentation in tissue and deduce changes in immune context using immune and non-immune marker co-localization with digital spatial analyses Develop image co-registration capabilities that allow the merging of sequentially-stained tissue section images for analysis at both the tissue and cell-to-cell level Develop/enhance imaging algorithms to quantify cell membrane and nuclear biomarkers Provide target quantification using approaches such as percent positive and signal intensity scoring Utilize statistical analyses tools to support conclusions drawn from image analysis Develop best practices for image management as it relates to the storage of high-content images and the linking of associated metadata files Cross-Program Support Work directly with the DDU scientists to deliver immunophenotyping analysis in support of translational research and biomarker identification across our preclinical GI programs Work with our unit’s computational biology group to combine cross-platform “omics” data with spatial immune profiling in an effort to deliver a new level of translational profiling capabilities Serve as an image analysis expert for translational strategy planning that efficiently drives preclinical assessment throughout the development cycle Prepare and present findings from image analysis to the project teams EDUCATION/COMPETENCIES/SKILLS PhD in Computer Science, Biomedical Engineering, or related field with 5+ years experience contributing to or leading digital imaging and analysis-related projects, or Master’s in Computer Science, Biomedical Engineering, or related field with 10+ years experience contributing to or leading digital imaging and analysis-related projects, or BS in Computer Science, Biomedical Engineering, or related field with 12+ years experience contributing to or leading digital imaging and analysis-related projects Excellent oral and written communication skills Ability to work within multi-disciplinary and matrixed teams Good fit with Takeda core values and leadership principles Right attitude (agile, curious, open-minded, “can-do” mindset) Expertise in image acquisition and image analysis software tools as it relates to tissue classification, target quantification, and target colocalization, with emphasis on working knowledge of inForm and HALO software platforms The ideal candidate will have basic knowledge of statistical analyses using data analysis packages such as R and/or MATLAB Preference will be given to those candidates with experience in spatial profiling WHAT TAKEDA CAN OFFER YOU: 401(k) with company match and Annual Retirement Contribution Plan Tuition reimbursement Company match of charitable contributions Health & Wellness programs including onsite flu shots and health screenings Generous time off for vacation and the option to purchase additional vacation days Community Outreach Programs Empowering Our People to Shine Learn more at takedajobs.com. No Phone Calls or Recruiters Please. #LI-KL1 Locations San Diego, CA Worker Type Employee Worker Sub-Type Regular Time Type Full time

Takeda Pharmaceuticals 3.7

San Diego, CA

OSAKA, Japan

10000+ employees

Company - Public

Biotech & Pharmaceuticals

Biotech & Pharmaceuticals

$10+ billion (USD)

Novartis, Baxter, Pfizer

Takeda Pharmaceuticals

CA

Senior Data Analyst

$55K-$100K (Glassdoor est.)

As a precaution and in compliance with applicable state stay-at-home guidelines, Dodge Data & Analytics has directed all employees to work from home and to suspend business travel until further notice. However, Dodge Data & Analytics remains open for business and continues to seek qualified candidates for open positions. We encourage everyone interested in a career with Dodge Data & Analytics to apply to our open positions by visiting https://dodge.breezy.hr/. While it may take some time for our country and the world to return to “normal,” we will continue to operate as near to normal as possible at a time when our services are most needed by the construction industry we serve. We look forward to reviewing your application. Best regards, The Dodge Data & Analytics Talent Recruitment Team About Dodge Data & Analytics: Dodge Data & Analytics is North America's leading provider of construction project information and analytics. Building Product Manufacturers, Architects, Engineers, Contractors, and firms that support them, leverage Dodge to identify and pursue unseen growth opportunities and execute on those opportunities through industry-wide workflow solutions supported by Dodge. We are industry experts and forward-looking partners to many of the nation's construction and building product manufacturing leading companies. Whether it's on a local, regional or national level, we allow our clients to better understand their markets, uncover and size hidden growth opportunities, and pursue those opportunities. We do this by providing construction project information, key insights into industry relationships and integrated workflow tools. As we look ahead, we're leveraging our 100-year-old legacy to reinvent ourselves and help the industry meet the building challenges of the future. To learn more, please visit www.construction.com Dodge Data & Analytics offers comprehensive benefits, which include: • Comprehensive Health Plan Options from Cigna upon the start of employment • Pre-tax Flexible Spending and Health Savings Accounts • 401K Plan from Vanguard upon the start of employment • Extensive Benefits including Identity Theft, Legal and Pet insurance • Work/Life Balance with generous time off starting in the first full year of employment • Compensation Program including competitive salaries and bonus eligibility • Comprehensive and on-going learning and training for sales, technology, and other associates • On-Site Gym and Café with farm-to-table options in our Hamilton, NJ location • Positive Work Environment that is open, bright, warm, friendly, and collaborative—team players welcome! Position Description: The Senior Data Analyst will play a critical role in advancing business intelligence and analytics throughout the organization. The primary area of a focus will be on driving sales enablement through the automation and measurement of key business processes in the New Business Development, Customer Success, and Marketing organizations. This role will be an integral part of delivering a holistic and data-driven view of the customer and help lead an analytical approach to problem-solving. Principal Accountabilities: Extract, transform and synthesize large and disparate data sets into actionable insights Create data visualizations and reports that tell a clear and actionable story Seek out data sources to enable a holistic view of the customer and work cross-functionally to ensure accurate interpretations and transformations are made Build automated processes, transforming raw business data into value-added business intelligence to drive historical churn reporting and modeling, lead conversion analysis, sales pipeline velocity analysis, marketing attribution, etc. Develop new and continuously improve business processes to drive sales enablement and achievement of business goals Create KPIs for key commercial business processes, develop targets, regularly measure and communicate performance vs. target with recommendations to improve results Quality ensure all work products, asking for second sets of eyes if needed to ensure the quality and integrity of his/her work Integrate internal systems and 3rd party applications with CRM (Salesforce.com) to deliver a one-stop-shop to the North American Sales organization Cleanse and maintain source system data (CRM, Marketing Cloud, etc.) and establish formal data governance processes Migrate, cleanse, transform, and load historical data from legacy systems into new platforms as needed Knowledge and Experience: Majors preferred: computer science, statistics, economics, or other quantitative fields of study Other majors considered with commensurate experience in data analysis 3-5 years of experience in data analysis, leveraging multiple source systems Demonstrated ability to extract, transform, normalize, and cleanse large data sets Ability to distill that data into actionable insights that correlate best practices and top performance Ability to work in a fast-paced environment with changing/competing priorities Experience querying and manipulating large datasets utilizing SQL Experience blending and visualizing data in Tableau Ability to learn new programming languages, applications, and analytical skills Expert MS Excel skills, experience with advanced formulas, pivot tables, etc. Intellectually curious, self-starter, creative problem solver Education & Qualifications: Bachelor's Degree required Preferred Education & Qualifications: MBA or MS in a quantitative field, statistics, analytics, etc. Python, R, or other statistical / machine learning experience a plus Dodge Data & Analytics is a strong advocate of workforce diversity, an Equal Opportunity/Affirmative Action Employer and does not discriminate based on any legally protected status or characteristic: Minority/Female/Sexual Orientation/Gender Identity/Disability/Veteran.

Dodge Data & Analytics 2.8

Hamilton, NJ

Hamilton, NJ

201 to 500 employees

Company - Private

IT Services

Information Technology

Unknown / Non-Applicable

-1

Dodge Data & Analytics

NJ

Principal Scientist - Immunologist

$98K-$182K (Glassdoor est.)

Job Description OBJECTIVE: Make gene therapies and biologics Safer |The next generation of gene therapies come with uncharted safety risks. Help direct pharmaceutical drug project teams with expert advice on how to design safer, more effective cell, protein and small molecule immunotherapies. Help develop Immunotoxicity Strategy |Deliver critical data and ideas to guide projects through discovery and development. The successful candidate will develop global strategy for designing & delivering of state-of-the-art immunoassays to detect & de-risk immune-mediated toxicities for candidate drug molecules. Immunology Problem Solving |Unwanted immune activation and inhibition can derail even the most promising drug projects. Lead problem-solving teams to help save these projects & make safer drugs for patients. Develop and deliver novel immune assays, including traditional immune cell culture as well as advanced organ-on-a-chip technologies Use genomics, molecular & cellular biology to investigate mechanisms of drug-induced toxicity Help guide the development of gene therapies, oligonucleotide therapies, and therapeutic viral vectors. Steer drug discovery teams to make safer medicines using experience, in-house, and literature data. EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS: PhD in Immunology or related field, or Masters with 3+ years of industry experience. Experience with advanced cell culture approaches with cell lines, primary cells, and iPSC cells. Cell and molecular biology skills including flow cytometry, application of knock-out, knock-down technology, gene expression analysis, and biomarker assay development and validation Experience working in a matrixed team environment at a pharmaceutical company and/or CRO Broad scientific knowledge including immunology, pharmacology, toxicology, pathology, physiology and biochemistry. Expertise designing & delivering fit for purpose assays for understanding the mechanism of toxicity of agents including drugs, for biomarker development and application, and for derisking drug candidates. Skills in pathway analysis, network pharmacology Strong interpersonal and organizational skills Excellent oral and written communication skills Locations Boston, MA Worker Type Employee Worker Sub-Type Regular Time Type Full time

Takeda Pharmaceuticals 3.7

Boston, MA

OSAKA, Japan

10000+ employees

Company - Public

Biotech & Pharmaceuticals

Biotech & Pharmaceuticals

$10+ billion (USD)

Novartis, Baxter, Pfizer

Takeda Pharmaceuticals

MA

Senior Data Scientist

$73K-$124K (Glassdoor est.)

The Senior Data Scientist independently develops statistical models that will enable future growth and profitability for our book of business through appropriate pricing and underwriting of risk. He/she is responsible for the formulation of statistical models and direct application of models to address insurance business issues. Essential Functions and Responsibilities Produces complex predictive models which enable the creation of rating plans and evaluation of risk and profitability. Develops studies that evaluate new business models for customer retention and growth initiatives as well as estimate the lifetime value of customer segments. Identifies drivers of insurance costs, understanding the economics of customers’ behavior and estimating the expected losses for segments of risks using advanced statistical and analytical techniques on large data sets. Develop or participate in the development of the overall analytical framework to support the company’s strategy for growth Communicates analysis, strategy and recommendations to diverse audiences, including technical and non-technical. Collaborates with upper management to assess the potential effects of proposed solutions and incorporates these considerations into recommendations. Manages projects of high complexity. Perform other job-related duties as assigned. Advanced skills and training in predictive modeling, data mining and other quantitative and research analytics (Non-Linear Regression Analysis, Multivariate Analysis, Bayesian Methods, Generalized Linear Models, Decision Trees, Non Parametric estimations, etc.). Ability to apply various predictive modeling techniques to develop solutions to various real-world problems. Hands-on experience developing and delivering structured, methodology projects. Exceptional programming ability in SAS, SQL, R or other programming languages. Excellent written and oral communication and presentation skills. In-depth understanding of database principles and experience working with large databases. Ability to influence and guide across departmental boundaries. Qualifications and Education 3 or more years of experience developing and implementing multivariate predictive models using GLM and other statistical methods. PhD in economics, statistics, or related field required. Or in the alternative, a Master’s degree in Statistics, Engineering, Mathematics, Economics, or a related field (foreign educational equivalent accepted) and five (5) years of experience as indicated above. High level of organizational and project management experience handling multiple projects simultaneously About the Company The Plymouth Rock Company and its affiliated group of companies write and manage over $1.4 billion in personal and commercial auto and homeowner’s insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,800 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of “A-/Excellent”.

Plymouth Rock Assurance 3.3

Woodbridge, NJ

Boston, MA

1001 to 5000 employees

Company - Private

Insurance Carriers

Insurance

$10 to $25 million (USD)

Arbella Insurance, Safety Insurance

Plymouth Rock Assurance

NJ

Principal Data Scientist with over 10 years experience

Employer Provided Salary:$200K-$250K

Position Title: Principal Data Scientist Location: San Francisco, CA Duration: Full time Job Description: Work with large scale dataset which includes transactional, click-stream, and telematics data; Build models, synthesize stories from data, and turn the stories into recommendations for building products that help our members to continuously improve on their driving; Help build econometric models to drive operational excellence; Work on data acquisition strategy to augment our dataset and drive value to our organization and members; Partner with cross-functional teams to execute product roadmap and ensure data is always a forethought in decision-making; Work with Data Engineers in building and maintaining near real-time data pipeline and machine learning infrastructure; Establish and maintain data dictionary; Own data quality controls and metrics; Build and mentor a team of awesome data scientists. Apply if you: Have 5+ years of programming experience (Python preferred); Have 3+ years of experience in developing models and productionizing it; Have 3+ years of experience in machine learning infrastructure and AWS data stack; Are an expert in statistical programming language (eg. Pandas, MATLAB, R); Have proficiency in visualization tools (eg. matplotlib, ggplot2, Tableau); Have worked on A/B testing, funnel optimization, cohort analysis, and user profiling; Can split the time between data science and data engineering; Have Bachelor's Degree (or higher) in Computer Science, Math, Statistics, Economics, or similar domain. Nice to have: Recent experience working in a startup; Worked on telematics dataset.

CA-One Tech Cloud

San Francisco, CA

Fremont, CA

51 to 200 employees

Company - Private

IT Services

Information Technology

$5 to $10 million (USD)

-1

CA-One Tech Cloud

CA

MED TECH/LAB SCIENTIST - LABORATORY

$21-$34 Per Hour(Glassdoor est.)

Evening: 3P-1130P or Night Shift 11P-730A Includes holidays and every other weekend. Summary: Performs, calculates and reports routine and special laboratory tests. Maintains equipment and troubleshoots problems. Evaluates results and quality control data. Serves as a resource and teaches new employees and students. Assists in evaluating new test procedures. The individual in this position must demonstrate knowledge of the principles of growth and development over the life span of the patient. In addition, she/he must possess the ability to assess patient data relative to age specific needs and provide care as described in the department's policies and procedures. Other information: Will consider entry level graduates of an approved associate degree program in an appropriate science field and eligibility as medical technologist.Must complete Point of Care Testing training as part of Department Orientation. Able to communicate effectively, pleasantly, cooperatively, and discretely with patients, physicians, hospital employees, and the general public. Able to work under pressure. Willingness to increase knowledge of laboratory/hospital functions. Demonstration of creativity, initiative and problem solving. Responsibilities: Demonstrates technical knowledge and competence in performing expected responsibilities. Ability to perform laboratory skills. Performs and evaluates maintenance systems. Implements corrective action as appropriate. Performs and evaluates quality control data and implements corrective action. Ability to identify issues and processes requiring improvement. Ability to find, organize and use resources to improve outcomes. Monitors and evaluates training progress and makes recommendations for additional training. Assists in maintenance and ordering of supplies. Helps maintain organization and cleanliness of work/storage areas. Demonstrates the ability to function productively and independently, planning and prioritizing times and tasks to complete work assignments. Ability to maintain positive performance under a variety of conditions. Credentials: Essential: ASCP-MEDTECH - MLT OR MT Competencies and skills: Essential: Clear Communication Skills Both Written And Verbal Able To Keep Confidential Information Regarding Patients, Team Members Able To Withstand Crisis Situations Has Skills To Provides Customer Service To Patients, Team Members And Visitors Knowledge And Experience With Electronic Health Records Education: Essential: Associates Degree in related field Education specialization: Essential: Medical Technology Location: Hospital-Main Campus Shift : Flexible-hours/shifts may vary depending on department needs FTE: 1.000000 Work Status: Full Time