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Data Scientist

$53K-$91K (Glassdoor est.)

Data Scientist Location: Albuquerque, NM Education Required: Bachelor’s degree required, preferably in math, engineering, business, or the sciences. Skills Required: Bachelor’s Degree in relevant field, e.g., math, data analysis, database, computer science, Artificial Intelligence (AI); three years’ experience credit for Master’s degree; five years’ experience credit for a Ph.D Applicant should be proficient in the use of Power BI, Tableau, Python, MATLAB, Microsoft Word, PowerPoint, Excel, and working knowledge of MS Access, LMS, SAS, data visualization tools, and have a strong algorithmic aptitude Excellent verbal and written communication skills, and quantitative analytical skills are required Applicant must be able to work in a team environment U.S. citizenship and ability to obtain a DoD Secret Clearance required Responsibilities: The applicant will be responsible for formulating analytical solutions to complex data problems; creating data analytic models to improve data metrics; analyzing customer behavior and trends; delivering insights to stakeholders, as well as designing and crafting reports, dashboards, models, and algorithms to make data insights actionable; selecting features, building and optimizing classifiers using machine learning techniques; data mining using state-of-the-art methods, extending organization’s data with third party sources of information when needed; enhancing data collection procedures to include information that is relevant for building analytic systems; processing, cleansing, and verifying the integrity of data used for analysis; doing ad-hoc analysis and presenting results in a clear manner; and creating automated anomaly detection systems and constant tracking of its performance. Benefits: We offer competitive salaries commensurate with education and experience. We have an excellent benefits package that includes: Comprehensive health, dental, life, long and short term disability insurance 100% Company funded Retirement Plans Generous vacation, holiday and sick pay plans Tuition assistance Benefits are provided to employees regularly working a minimum of 30 hours per week. Tecolote Research is a private, employee-owned corporation where people are our primary resource. Our investments in technology and training give our employees the tools to ensure our clients are provided the solutions they need, and our very high employee retention rate and stable workforce is an added value to our customers. Apply now to connect with a company that invests in you.

Tecolote Research 3.8

Albuquerque, NM

Goleta, CA

501 to 1000 employees

Company - Private

Aerospace & Defense

Aerospace & Defense

$50 to $100 million (USD)

-1

Tecolote Research

NM

Healthcare Data Scientist

$63K-$112K (Glassdoor est.)

What You Will Do: I. General Summary The Healthcare Data Scientist position will join our Advanced Analytics group at the University of Maryland Medical System (UMMS) in support of its strategic priority to become a data-driven and outcomes-oriented organization. The successful candidate will have 3+ years of experience with Machine Learning, Predictive Modeling, Statistical Analysis, Mathematical Optimization, Algorithm Development and a passion for working with healthcare data. Previous experience with various computational approaches along with an ability to demonstrate a portfolio of relevant prior projects is essential. This position will report to the UMMS Vice President for Enterprise Data and Analytics (ED&A). II. Principal Responsibilities and Tasks • Develops predictive and prescriptive analytic models in support of the organization’s clinical, operations and business initiatives and priorities. • Deploys solutions so that they provide actionable insights to the organization and are embedded or integrated with application systems • Supports and drives analytic efforts designed around organization’s strategic priorities and clinical/business problems • Works in a team to drive disruptive innovation, which may translate into improved quality of care, clinical outcomes, reduced costs, temporal efficiencies and process improvements. • Builds and extends our analytics portfolio supported by robust documentation • Works with autonomy to find solutions to complex problems using open source tools and in-house development • Stays abreast of state-of-the-art literature in the fields of operations research, statistical modeling, statistical process control and mathematical optimization • Creates, communicates, and manages the project plans and other required project documentation and provides updates to leadership as necessary • Develops and maintains relationships with business, IT and clinical leaders and stakeholders across the enterprise to facilitate collaboration and effective communication • Works with the analytics team and clinical/business stakeholders to develop pilots so that they may be tested and validated in pilot settings • Performs analysis to evaluate primary and secondary objectives from such pilots • Assists leadership with strategies for scaling successful projects across the organization and enhances the analytics applications based on feedback from end-users and clinical/business consumers • Assists leadership with dissemination of success stories (and failures) in an effort to increase analytics literacy and adoption across the organization. What You Need to Be Successful: III. Education and Experience • Master’s or higher degree (may be substituted by relevant work experience) in applied mathematics, physics, computer science, engineering, statistics or a related field • 3+ years of Mathematical Optimization, Machine Learning, Predictive Analytics and Algorithm Development experience (experience with tools such as WEKA, RapidMiner, R. Python or other open source tools strongly desired) • Strong development skills in two or more of the following: C/C++, C#, Python, Java • Combining analytic methods with advanced data visualizations • Expert ability to breakdown and clearly define problems • Experience with Natural Language Processing preferred IV. Knowledge, Skills and Abilities • Proven communications skills – Effective at working independently and in collaboration with other staff members. Capable of clearly presenting findings orally, in writing, or through graphics. • Proven analytical skills – Able to compare, contrast, and validate work with keen attention to detail. Skilled in working with “real world” data including scrubbing, transformation, and imputation. • Proven problem solving skills – Able to plan work, set clear direction, and coordinate own tasks in a fast-paced multidisciplinary environment. Expert at triaging issues, identifying data anomalies, and debugging software. • Design and prototype new application functionality for our products. • Change oriented – actively generates process improvements; supports and drives change, and confronts difficult circumstances in creative ways • Effective communicator and change agent • Ability to prioritize the tasks of the project timeline to achieve the desired results • Strong analytic and problem solving skills • Ability to cooperatively and effectively work with people from various organization levels 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.

University of Maryland Medical System 3.4

Linthicum, MD

Baltimore, MD

10000+ employees

Other Organization

Health Care Services & Hospitals

Health Care

$2 to $5 billion (USD)

-1

University of Maryland Medical System

MD

Data Scientist

$80K-$90K (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, every day. 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 Data Scientist will work closely with the VP of FP&A and the Quantitative Analytics Manager to implement advanced analytical models and other data-driven solutions. Responsibilities: Work with key stakeholders throughout the organization to identify opportunities using financial data to develop business solutions. Develop new and enhance existing data collection procedures to ensure that all data relevant for analyses is captured. Cleanse, consolidate, and verify the integrity of data used in analyses. Build and validate predictive models to increase customer retention, revenue generation, and other business outcomes. Develop relevant statistical models to assist with profitability forecasting Create the analytics to leverage known, inferred and appended information about origins and recognizing patterns to assist in outlook forecasting Assist in the design and data modeling of data warehouse. Visualize data, especially in reports and dashboards, to communicate analysis results to stakeholders. Extend data collection to unstructured data within the company and external sources Mine and collect data (both structured and unstructured) to detect patterns, opportunities and insights that drive our organization Create and execute automation and data mining requests utilizing SQL, Access, Excel, SAS and other statistical programs Trouble shoot forecast and optimization anomalies with FP&A team through the use of statistical and mathematical optimization models. Develop testing to explain and or reduce these anomalies. Oversee and develop key metric forecasts as well as provide budget support based on trends in the business/industry. Minimum Qualifications: Master's degree in Statistics, Computer Science, Mathematics or other quantitative discipline required 2-3 years of experience in similar role (Master's Degree) 0-2 years of experience in similar role (PhD) Experience leveraging predictive modeling, big data analytics, exploratory data analysis and machine learning to drive significant business impact Experience with statistical computer languages (Python, R etc.) to manipulate and analyze large datasets preferred. Experience with data visualization tools like D3.js, matplotlib, etc., preferred Exceptional understanding of machine learning algorithms such as Random Forest, SVM, k-NN, Naïve Bayes, Gradient Boosting a plus. Applied statistical skills including statistical testing, regression, etc. Experience with data bases, query languages, and associated data architecture. Experience with distributed computing tools (Hive, Spark, etc.) is a plus. Strong analytical skills and ability to meet project deadlines. 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

Data Scientist

$56K-$97K (Glassdoor est.)

*Organization and Job ID** Job ID: 310709 Directorate: Earth & Biological Sciences Division: Biological Sciences Group: Exposure Science Team *Job Description** The Biological System Science (BSS) Group in the Biological Sciences Division of the Pacific Northwest National Laboratory (PNNL) is seeking a staff scientist with multidisciplinary experience in computational chemistry, cheminformatics, advanced statistics and/or machine learning/deep learning/AI. Preferred candidates will have a broad understanding of the state of computational metabolomics and experience in designing and implementing novel deep learning networks for chemistry applications. Research experience in drug design, cheminformatics, deep learning, machine learning and/or small molecule identification is also highly valued. Successful candidates will join a large, uniquely collaborative, collegial group of innovators driving the integration of data science, computational science and analytical chemistry to solve the nations most challenging problems in human health, chemical forensics, and national security. The BSS Group is diverse and inclusive, working closely with colleagues across the laboratory with expertise in computational biology, integrative omics, applied mathematics, computer science, and statistics. + Apply knowledge of statistics, machine learning, advanced mathematics, simulation, software development, and data modeling to to design, development and implement methods that integrate, clean and analyze data, recognize patterns, address uncertainty, pose questions, and make discoveries from structured and/or unstructured data. + Produce solutions driven by exploratory data analysis from complex and high-dimensional datasets. + Design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from data. + Develop and maintain existing deep learning networks that generate novel molecules for drug discovery applications + Contribue or author proposals, peer-reviewed papers, and other technical products. *Minimum Qualifications** BS/BA with 0-1 years of experience or MS/MA with 0-1 years of experience *Preferred Qualifications** + MS in chemical engineering, computer science, or related field with a GPA of 3.5+ 5+ years of research experience + Intermediate level programming experience (preferably Python) and high-performance computing experience + At least one first author published, or proof of submitted, paper applying deep learning for use in novel compound generation + Understanding of the NMDA receptor and potential drug targets + Research experience in drug design, cheminformatics, deep learning, machine learning and/or small molecule identification *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._** _Directorate:_ _Earth & Biological Sciences_ _Job Category:_ _Scientists/Scientific Support_ _Group:_ _Biological Systems Science_ _Opening Date:_ _2020-03-26_ _Closing Date:_ _2020-04-05_

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 Scientist

$86K-$143K (Glassdoor est.)

Data Scientist Affinity Solutions / Marketing Cloud seeks smart, curious, technically savvy candidates to join our cutting-edge data science team. We hire the best and brightest and give them the opportunity to work on industry-leading technologies. The data sciences team at AFS/Marketing Cloud build models, machine learning algorithms that power all our ad-tech/mar-tech products at scale, develop methodology and tools to precisely and effectively measure market campaign effects, and research in-house and public data sources for consumer spend behavior insights. In this role, you'll have the opportunity to come up with new ideas and solutions that will lead to improvement of our ability to target the right audience, derive insights and provide better measurement methodology for marketing campaigns. You'll access our core data asset and machine learning infrastructure to power your ideas. Duties and Responsibilities · Support all clients model building needs, including maintaining and improving current modeling/scoring methodology and processes, · Provide innovative solutions to customized modeling/scoring/targeting with appropriate ML/statistical tools, · Provide analytical/statistical support such as marketing test design, projection, campaign measurement, market insights to clients and stakeholders. · Mine large consumer datasets in the cloud environment to support ad hoc business and statistical analysis, · Develop and Improve automation capabilities to enable customized delivery of the analytical products to clients, · Communicate the methodologies and the results to the management, clients and none technical stakeholders. Basic Qualifications · Advanced degree in Statistics/Mathematics/Computer Science/Economics or other fields that requires advanced training in data analytics. · Being able to apply basic statistical/ML concepts and reasoning to address and solve business problems such as targeting, test design, KPI projection and performance measurement. · Entrepreneurial, highly self-motivated, collaborative, keen attention to detail, willingness and capable learn quickly, and ability to effectively prioritize and execute tasks in a high pressure environment. · Being flexible to accept different task assignments and able to work on a tight time schedule. · Excellent command of one or more programming languages; preferably Python, SAS or R · Familiar with one of the database technologies such as PostgreSQL, MySQL, can write basic SQL queries · Great communication skills (verbal, written and presentation) Preferred Qualifications · Experience or exposure to large consumer and/or demographic data sets. · Familiarity with data manipulation and cleaning routines and techniques.

Affinity Solutions 2.9

New York, NY

New York, NY

51 to 200 employees

Company - Private

Advertising & Marketing

Business Services

Unknown / Non-Applicable

Commerce Signals, Cardlytics, Yodlee

Affinity Solutions

NY

Data Scientist

$71K-$119K (Glassdoor est.)

CyrusOne is seeking a talented Data Scientist who holds a range of data-focused skills both in technical and analytical domains. The ideal candidate is adept at processing, cleansing, and verifying the integrity of data used for visualization and analysis. This role is dynamic, granting the candidate the opportunity to participate in a wide variety of projects and collaborate with many cross-functional teams throughout the business. Duties and Responsibilities: Participate in an agile scrum cadence Process, cleanse, and verify the integrity of data used for analysis Perform functional business requirements analysis and data analysis Develop data models and algorithms to apply to data sets Augment data collection procedures to include necessary information for building accurate analytics Collaborate with stakeholders throughout the organization to identify opportunities for leveraging data to drive business solutions Evaluate the effectiveness and accuracy of data sources and data gathering techniques Gather critical information from meetings with various stakeholders and produce useful reports Coordinate with cross-functional teams to implement models and monitor outcomes Develop automated discrepancy detection systems and distribute reconciliation reports to stakeholders Requirements: Must be legally authorized to work in the United States for any employer without sponsorship Professional experience using statistical software languages like R, Python, and SQL to query, manipulate, and draw insights from data sets Strong problem-solving skills with an emphasis on product development Extensive experience with Microsoft SQL, MySQL and MongoDB Understanding of version control (git) and project management with Azure DevOps Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) Experience visualizing data for stakeholders using visualization tools such as Power BI Experience working with and creating data architectures Understanding and adherence to agile principles and practices Ability to work on problems of any scope where the analysis of situations or data requires a review of a variety of factors Self-maintainability and reliability with minimal supervision Excellent interpersonal communication, decision making, presentation, and organizational skills Ability to build productive internal/external working relationships Harmonious with CyrusOne culture, core values, and business goals Minimum Qualifications: 2+ years of related experience in a data analyst role Strong can-do attitude in a time sensitive environment Other important information about this position: This position requires typical weekday (Monday - Friday) attendance in an office setting, at times after hours work may be required to meet business and customer needs Every position requires certain physical capabilities. CyrusOne seeks to make reasonable accommodations that enable individuals with disabilities to perform essential duties when possible CyrusOne is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. CyrusOne provides reasonable accommodation for qualified individuals with disabilities in accordance with the Americans with Disabilities Act (ADA) and any other state or local laws. We will respond to requests for reasonable accommodations to assist you in applying for positions at CyrusOne, or to submit a resume. If you need to request an accommodation, please contact our Human Resources at 214.488.1365 (Option 7) or by email at HR@cyrusone.com.

CyrusOne 3.4

Dallas, TX

Dallas, TX

201 to 500 employees

Company - Public

Real Estate

Real Estate

$1 to $2 billion (USD)

Digital Realty, CoreSite, Equinix

CyrusOne

TX

Data Scientist

$54K-$93K (Glassdoor est.)

Job Description **Please only local candidates apply - thank you** ClearOne Advantage is a fast-growing company that is aggressively hiring due to increased business. We are always improving our marketing, culture and technology to provide our employees with the best work atmosphere and our customers with excellent customer service. COA’s proprietary software is tailored to our industry and allows the client to receive the best service possible. We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions. If you are looking to work in a team environment, a place where you are more a name than a number, where you interact with leadership daily, then please send your resume for review! Perks: Great location, right on the water in the Canton Crossing Tower Casual work environment and WFH flexibility Room for advancement What you'll be doing: Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

ClearOne Advantage 4.1

Baltimore, MD

Baltimore, MD

501 to 1000 employees

Company - Private

Banks & Credit Unions

Finance

Unknown / Non-Applicable

-1

ClearOne Advantage

MD

Data Scientist

$86K-$142K (Glassdoor est.)

Advanced Analytics – Lead Data Scientist Overview We are looking for a Data Scientist to join our Data Science team to work on interesting projects to help our clients make data driven solutions. As a Data Scientist, you’ll work closely with the clients to understand their business needs, frame them as statistical problems, and solve them with cutting edge techniques. Collaborate with your team, including machine learning engineers, data engineers, analysts, and TPMs to define tasks, provide estimates, and work together to deliver a world class solution. The ideal candidate will have the balance of technical skills and business acumen to help the client better understand their core needs while understanding technical limitations. About you… Experience partnering & communicating with executive management team to understand business needs and pain points Ability to communicate data science concepts to business stakeholders Passion for the application of machine learning to real world problems Adept at developing and iterating solutions rapidly Ability to lead development of data science solutions What we offer our consultants: Experience working with both large enterprise clients and mid-sized clients Progressive responsibilities that encourage ownership and design Opportunity to learn and gain experience in complimentary skills such as meeting facilitation, data management, project management, data modeling, and data management Company Culture that celebrates “Foster the culture of we”, “Act with integrity” and “Drive towards excellence” while having fun at work Training and certification opportunities to support your career now and after Logic20/20 Various opportunities to give back to the community through company sponsored events Required Qualifications Experience building machine learning models using Python Experience deploying machine learning models in a production environment Strong knowledge of probability statistics Experience with Tensorflow or PyTorch Experience writing SQL to query databases, structure and modify data Demonstrated ability to frame business problems as statistical problems and solve them Ability to work both independently and as part of a team Experience working in ambiguous and dynamic environments that move quickly An undergraduate degree in mathematics, computer science, or engineering is preferred Preferred Qualifications Passion and experience driving adoption of machine learning in industry Experience deploying machine learning on large scales through Spark or other big data technology Experience building systems in AWS Experience in computer vision with deep neural networks Experience with leading workshops with executives to drive requirements gathering Masters or PhD in data science or related field About Logic20/20. . . Logic20/20 is one of Seattle’s fastest growing full-service consulting firms. Our core competency is creating simplicity and efficiency in complex solutions. Although we make it look like magic, we succeed by combining methodical and structured approaches with our substantial experience to design elegant solutions for even the most intricate challenges. Our rapid growth is in response to our ability to deliver consistently for our clients, which is directly related to the quality of the people we hire. The past four years, we’ve been in the top 10 “Best Companies to Work For” ….. why? Our team members are highly self-motivated, comfortable conceiving strategies on the fly, and enjoy working both individually and as part of a team. Our environment is very high-energy and demanding, and individuals with remarkable enthusiasm and a can-do attitude are joining our team. We have lots of fun, focus on our employees and our clients, and work to bring our best to every opportunity.

Logic20/20 3.8

San Jose, CA

Seattle, WA

201 to 500 employees

Company - Private

Consulting

Business Services

$25 to $50 million (USD)

-1

Logic20/20

CA

Research Scientist

$38K-$84K (Glassdoor est.)

SUMMARY The Research Scientist I will be tasked with oversight of research in the Division of Cancer Biology Research at the Rochester General Hospital Research Institute. A strong background in Molecular Biology or Cancer Biology Research is preferred. Mouse models will be used in the research. STATUS: Full Time LOCATION: RGH Research Institute DEPARTMENT: Cancer Biology SCHEDULE: Monday-Friday; Days ATTRIBUTES MD or PhD who is not self supporting of their own salary nor has their own research program Functions with minimal direction from Research Scientist II, Senior Research Scientist or Laboratory Director. Strong analytical, computer, leadership and problem-solving skills RESPONSIBILITIES Conducts research projects including complex experiments, some in parallel, utilizing current concepts and recognized standard techniques, developing new protocols as necessary Demonstrates a high level of initiative in performing experiments, analyzing data and drawing conclusions regarding progress and results of work. Maintains a familiarity with current and emerging technologies through reading and understanding scientific and technical literature resulting in a broadening understanding of disciplines outside area of training and enabling the use of new and improved procedures in the laboratory. Duties are performed with an understanding of drug discovery in area of specialization. EDUCATION PhD; MD Rochester Regional Health is an Equal Opportunity / Affirmative Action Employer. Minority/Female/Disability/Veteran

Rochester Regional Health 3.3

Rochester, NY

Rochester, NY

10000+ employees

Hospital

Health Care Services & Hospitals

Health Care

$500 million to $1 billion (USD)

-1

Rochester Regional Health

NY

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

$126K-$201K (Glassdoor est.)

At Wish, our Data Science & Engineering team is comprised of Data Scientists, Data Analysts & Data Engineers who focus on centralizing corporate data in order to gain insights, knowledge and scalability, that empower a proactive and rigorous analysis of key business indicators. Our mission is to derive wisdom from data via the application of Data Science. Wish has exciting opportunities for talented Data Scientists to form the foundation of our centralized data science team. Successful candidates will have extensive backgrounds in a quantitative fields and s track record of using data to drive the understanding, growth, and the success of a product. As a member of this team, you will be empowered and motivated to drive business impact through data. #LI-WISHJWALL As a Data Scientist at Wish, you will: Apply statistics techniques to improve Wish’s experimentation platform and process. Apply economics methodologies to understand and improve Wish’s two-sided marketplace. Apply optimization techniques to improve Wish’s logistics and overall user experiences. Apply machine learning techniques to improve Wish’s product and operation. Required Skills & Experience Advanced degree in a quantitative field. A minimum of 2 years of Data Science experience in technology or research industry. Proficient in Python or R Preferred Skills Demonstrated track record of successful projects in applying quantitative techniques to improve a product or business. 4+ years work experience in technology or research industry. Domain expert in one of the fields: statistics, machine learning, optimization, and economics. Why Wish: Wish is transforming the way the world shops by offering a convenient and personalized mobile shopping experience. Our mission is to offer an unlimited selection of affordable quality goods to be accessible for everyone on a global scale. We bring together world-class technical talent with a passion for connecting relevant products to relevant people. Learn more about us: Intro to Wish Our CEO discusses Wish Crunchbase Recruiting Video Wish values diversity and is committed to creating an inclusive work environment. We provide equal employment opportunity for all applicants and employees. We do not discriminate based on any legally-protected class or characteristic. Employment decisions are made based on qualifications, merit, and business needs. If you need assistance or accommodation due to a disability, please let your recruiter know. For job positions in San Francisco, CA, and other locations where required, we will consider for employment qualified applicants with arrest and conviction records. Individuals applying for positions at Wish, including California residents, can see our privacy policy here.

Wish 3.5

San Jose, CA

San Francisco, CA

501 to 1000 employees

Company - Private

Other Retail Stores

Retail

$1 to $2 billion (USD)

-1

Wish

CA

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

Staff Data Scientist - Technology

$106K-$172K (Glassdoor est.)

Position Summary... Drives the execution of multiple business plans and projects by identifying customer and operational needs; developing and communicating business plans and priorities; removing barriers and obstacles that impact performance; providing resources; identifying performance standards; measuring progress and adjusting performance accordingly; developing contingency plans; and demonstrating adaptability and supporting continuous learning. Provides supervision and development opportunities for associates by selecting and training; mentoring; assigning duties; building a team-based work environment; establishing performance expectations and conducting regular performance evaluations; providing recognition and rewards; coaching for success and improvement; and ensuring diversity awareness. Promotes and supports company policies, procedures, mission, values, and standards of ethics and integrity by training and providing direction to others in their use and application; ensuring compliance with them; and utilizing and supporting the Open Door Policy. Ensures business needs are being met by evaluating the ongoing effectiveness of current plans, programs, and initiatives; consulting with business partners, managers, co-workers, or other key stakeholders; soliciting, evaluating, and applying suggestions for improving efficiency and cost-effectiveness; and participating in and supporting community outreach events. What you'll do... A Staff Data Scientist is responsible for analyzing large data sets to develop multiple custom models and algorithms to drive innovative business solutions. Staff Data Scientists work on large project teams in order to provide analytical support and guidance to an assigned area on for large projects (for example, email targeting, business optimization, consumer recommendations) within Walmart eCommerce. Staff Data Scientists are responsible for building large data sets from multiple sources in order to build algorithms for predicting future data characteristics. Those algorithms will be tested, validated, and applied to large data sets. Staff Data Scientists are responsible for training the algorithms so they can be applied to future data sets and provide the appropriate search results. Staff Data Scientists are responsible for researching new trends in the industry and utilizing up-to-date technology (for example, HBase, MapReduce, LAPack, Gurobi) and analytical skills to support thei Build complex data sets from multiple data sources, both internally and externally. Conduct advanced statistical analysis to determine trends and significant data relationships. Build learning systems to analyze and filter continuous data flows and offline data analysis. Train algorithms to apply models to new data sets. Validate models and algorithmic techniques. Scale new algorithms to large data sets. Combine data features to determine search models. Research new techniques and best practices within the industry. Utilize system tools including (MySQL, Hadoop, Weka, R, Matlab,ILog). Develop multiple custom data models to drive innovative business solutions. Translate business needs into data requirements. Collaborate with cross-functional partners across the business. Interpret data to identify trends to go across future data sets. Collaborate with project teams to implement data modeling solutions. Develop models of current state in order to determine improvements needed. Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Minimum Qualifications: Bachelor of Science and 5 years' data science experience OR Master of Science and 3 years' data science experience. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Walmart 3.2

Plano, TX

Bentonville, AR

10000+ employees

Company - Public

Department, Clothing, & Shoe Stores

Retail

$10+ billion (USD)

Target, Costco Wholesale, Amazon

Walmart

TX

Data Analyst

$46K-$85K (Glassdoor est.)

Are you an experienced Data Analyst, skilled at providing actionable data and insights to clients? Do you have a passion for using data to help people understand behavior and optimize business outcomes? Want to be part of a fun and high impact team? Yesler is looking for a Data Analyst to join our growing B2B agency. You will play a pivotal role helping us connect data with strategic business goals to create data-driven marketing departments through expert construction and management of BI tools like Tableau or Power BI, as well as architecting data backend systems on platforms like Azure and AWS. You will gain exposure to a broad variety of paid, earned and owned channels, digital data sources, analytic techniques, technical infrastructure, and marketing challenges. Key Responsibilities You participate in the creation of client-facing measurement strategies, from KPI selection to data capture requirements You develop and implement data analyses, data collection systems and other strategies You consult on and build data backend infrastructure using platforms like Azure and AWS You automate manual reporting processes using technologies like Python You use ETL/ELT tools to connect disparate data sources into Yesler's Data Lake You extract, clean, and integrate data from disparate data sources using SQL or big data solutions like Apache Spark You build and manage business intelligence dashboards, using tools like Tableau and Power BI You interpret data and analyze results using statistical techniques You support the team in contextualizing data trends and uncovering actionable data insights for our internal and external clients You work across functional teams (e.g. Media, Creative, Tech) to identify opportunities for optimization You contribute to ad hoc performance analyses that encompass a variety of digital and traditional channels Requirements 5+ years of experience in marketing data analytics and BI dashboarding, preferably with a B2B focus and ideally, in an agency environment Technical chops: Tableau, PowerBI, SQL, and Excel wizardry are required. Google and/or Adobe Analytics experience is preferred. Experience in either R or Python is a strong plus. Ability to learn systems and acquire technical skills quickly, and have a problem-solving attitude Data infrastructure/backend experience with Azure or AWS is a strong plus You're a phenomenal teammate but able to work independently as well Benefits Health Care Plan (Medical, Dental & Vision) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick, Holidays & Floating Holidays, Jury Duty, Bereavement) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development (up to $1500/yr ProDev allowance for resources/classes) Mobile Phone or Internet Benefit – $25 per paycheck subsidy Green Commuting Benefit – Incentive program to walk/bike/carpool 3+ days per week Work From Home Free Food & Snacks …and more! About Yesler Yesler is a B2B marketing agency that blends strategy, creativity, and technology to build demand, engage customers, and grow revenue. From offices in Seattle, Portland, Philadelphia, Toronto, London and Singapore, we’re a team of more than 200 strategists, designers, technologists, media experts, and analysts who are on a mission to change the marketing status quo. We take an integrated approach to serving the entire marketing organization—not only the strategies, content, and programs to create demand but also the infrastructure, operations, and project management required to execute, measure, and optimize for results. Yesler has been recognized as a great place to work, and the awards keep rolling in. We’ve earned more than 19 Best Workplace Awards over the last decade, placement on the Inc. Magazine list of America’s Fastest Growing Companies for five years in a row, and we were named one of the Top 50 B2B Marketing Agencies by Chief Marketer in 2016 and 2017. Our mission is to positively impact the people we work with, the people we work for, and the communities we live in. We support our mission by providing an inclusive environment where all are empowered to share their diverse perspectives and experiences, so we can ultimately be better together. Our policies, practices, programs, activities and decisions regarding employment, hiring, assignment, promotion, compensation, volunteerism, and internships are not based on a person’s race, color, sex, age, religion, national origin, mental or physical disability, ancestry, military discharge status, sexual orientation, gender identity or expression, marital status, source of income, parental status, housing status, or other protected status. We strongly encourage women, people of color, veterans, individuals with disabilities, and members of the LGBTQ community to apply. Visit yesler.com to learn more, or follow us on Twitter @yeslerb2b.com

Yesler 4.1

Seattle, WA

Seattle, WA

201 to 500 employees

Company - Private

Advertising & Marketing

Business Services

Unknown / Non-Applicable

-1

Yesler

WA

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 Engineer I

$102K-$190K (Glassdoor est.)

This opportunity is within Audibles Data Engineering group. The Data Engineering group owns technology platforms and datasets that enable systems and people to uncover new insights and fine-tune operations to meet business goals. We need your help designing and building these. KEY RESPONSIBILITIES · Apply broad knowledge of technology options, technology platforms, design techniques and approaches across the Data Engineering ecosystem to build systems that meet business needs · Build systems and datasets using software engineering best practices, data management fundamentals, data storage principles, recent advances in distributed systems, and operational excellence best practices · Analyze source systems, define underlying data sources and transformation requirements, design suitable data models and document the design/specifications · Demonstrate passion for quality and productivity by use of efficient development techniques, standards and guidelines · Effectively communicate with various teams and stakeholders, escalate technical and managerial issues at the right time and resolve conflicts · Peer review work. Actively mentor other members of the team, improving their skills, their knowledge of our systems and their ability to get things done HOW DOES AMAZON FIT IN? We're a part of Amazon, they are our parent company and it's a great partnership. You'll get to play with all of Amazon's technologies like EC2, SQS and S3 but it doesn't stop there. Audible's built on Amazon technology and you'll have insight into the inner workings of the world's leading ecommerce experience. There's a LOT to learn! If you want to own and solve problems, work with a creative dynamic team, fail fast in a supportive environment whilst growing your career and working on a platform that powers web applications used by millions of customers worldwide we want to hear from you.

Audible 3.6

Newark, NJ

Newark, NJ

1001 to 5000 employees

Subsidiary or Business Segment

Motion Picture Production & Distribution

Media

Unknown / Non-Applicable

-1

Audible

NJ

Scientist I/II, Biology

$67K-$137K (Glassdoor est.)

Scientist I/II, Biology Cambridge, MA BIO20-901 At Blueprint Medicines, we are creating a blueprint for the future of healthcare. We are a leading company in the personalized medicine revolution by focusing on delivering new medicines that are targeted to the genetic driver of disease. We do this by leveraging our one-of-a-kind drug discovery platform to discover, develop and work to bring highly-selective kinase inhibitors to patients globally. This prolific scientific platform has enabled Blueprint Medicines to build a pipeline of novel therapies that span three distinct areas of medicine; genomically defined cancers, rare diseases and cancer immunotherapy. [Objective of position] Responsibilities: Blueprint Medicines is seeking a highly motivated, experienced and collaborative laboratory scientist to work within a cross-functional team to expand our small-molecule drug discovery platform. The individual should possess strong core competency in cell and molecular biology and protein degradation, as well as the development and execution of cell-based assays for compound evaluation employing a variety of technology platforms. This hands-on candidate is expected to independently design, carry out and interpret experiments, and present data in various forums. The successful candidate will also contribute to the design and execution of key experiments to investigate cellular and molecular mechanisms as consequence of target inhibition and degradation. This position offers the opportunity to impact a growing portfolio of targeted therapy programs in a fast-paced and innovative research environment. Qualifications and capabilities: PhD in cell biology, cancer biology, chemical biology or related discipline with a strong publication record and 2-3 years of relevant laboratory experience in an industry Experience in protein degradation is a must Experience with proteomics and CeTSA or other target engagement technologies is a plus Proficient in mammalian cell culture and cell line development; familiar with automation systems/platforms is a plus Independently design, optimize, troubleshoot, validate, and implement cell-based assays Employ a breadth of cell and molecular biology techniques, to investigate MOA/biology to inform project team, translational medicine, clinical strategies Responsible for data processing, interpreting and reporting to cross functional team members Strong oral and written communication and excellent data management (e.g. ELN, Core, LIMS) skills Strong interpersonal and collaboration skills A team player, who listens effectively, invites response and discussion All applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability, sexual orientation, gender or protected veteran status. WHO WE ARE: Blueprint Medicines mission is to dramatically improve the lives of patients with genomically defined diseases. Our singular focus is to use our deep understanding of the genetic blueprint of cancer and other diseases driven by the abnormal activation of kinases to craft highly selective medicines aimed at eradicating these diseases. We dont think in small steps. We think in giant leaps. We are driven by the pursuit of new ideas, new innovations, and new ways of thinking. We know that what each and every one of us does matters and that our success depends on our ability to work together. We believe we are at our best as a company when our employees are thriving and foster a culture that provides opportunities to grow and develop professionally, while also having fun. Powered by JazzHR

Blueprint Medicines 3.9

Cambridge, MA

Cambridge, MA

51 to 200 employees

Company - Public

Biotech & Pharmaceuticals

Biotech & Pharmaceuticals

$1 to $5 million (USD)

bluebird bio, Agios Pharmaceuticals, Celgene

Blueprint Medicines

MA

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 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 Scientist

$64K-$111K (Glassdoor est.)

Pinnacol Assurance does just one thing, and does it better than anyone: provide caring workers' compensation protection to Colorado employers and employees. And while we may be a little biased, we believe that our work shapes communities and changes lives. We have big hearts and love big ideas. We celebrate continuous improvement, innovation, compassion, teamwork, integrity and excellence. Speaking of celebrating, we love having fun at work. We host holiday parties, on-site painting classes, and employees love our yoga classes and book club, too. What you'll do: You will work with medical, claims, and policy related data that comes in a variety of formats – structured and unstructured - to generate insights and embed artificial intelligence into applications. As a Data Scientist, you will work with internal teams to: Extract and clean data from various sources apply tools and methods to transform or enrich data for an array of possible uses build creative solutions for a variety of problems of interest to our company Ability to thrive in a fast-paced environment and enjoy working closely with a core data science team Build collaborative working relationships with both technical and business team members from a variety of teams and backgrounds Share knowledge and communicate complex concepts effectively to both technical and non-technical team members and leaders Enthusiastically seek out opportunities to grow both your domain and technical knowledge Devise creative approaches for leveraging incomplete or noisy data to build intelligent and/or automated solutions for decision-making and analysis Create effective technical documentation, charts, graphs, and analyses to support operationalizing and maintenance of solutions and products Support team members in the maintenance of systems for production environments and resolution of internal and external customer issues What you'll bring to the table: Bachelor's degree in Data Science, Machine Learning, Computer Science, or other quantitative field. Master's degree preferred. Relevant work experience (similar kind of work at a similar level of work) may be substituted for a Bachelor's degree. Completion of a degree is encouraged and supported. Strong programming skills. Preferred languages: Python, SQL,Bash Experience with common data science libraries (e.g. spaCy, Pandas, NumPy, Scikit-learn, XGBoost, Tensorflow, PyTorch, Keras) Experience in extracting, cleaning, preparing, and modeling data; command-line scripting, data structures, and algorithms Two or more years of experience working with insurance data (e.g. medical records, insurance claims, policy data) preferred Familiar with fundamental concepts, practices, and principles of software and API development, version control, containers, and scalable infrastructure/platforms Proficiency using cloud environments; preferred experience in Google Cloud Platform We can't do our work without people like you. Our employees are extraordinary and committed to making a difference. Here's some of the ways we show our appreciation. Our benefits go beyond the basics. You'll get to choose from diverse benefit offerings for medical, dental and vision. We care about each other. We enjoy a positive, collaborative work environment. We are hard workers and high performers. Take a day (or 20!) off. Enjoy 20 paid days off your first full year plus eight paid holidays annually. Take care of yourself. Sign up for unique wellness programs, including on-site, company-paid fitness facilities and classes Get your learning on. We promote a learning culture to help you master your current job and cultivate the skills of the future through a variety of on-site, online, and off-site professional development opportunities. Give back and get paid. Through our employee volunteer program, Pinnacol in Action, employees receive paid time off to volunteer with Colorado nonprofits. Share in our success. You'll have the opportunity to earn a quarterly incentive, up to 20 percent of your annual base salary, when your team exceeds their goals and objectives. When we find the right person, we try to put our best foot forward with an offer that excites you. We consider what you'd like to be paid, what similar jobs pay in the Denver area and make sure there's equal pay for equal work among those you'll be working with. Want to love your work? Apply today!

Pinnacol Assurance 4.0

Denver, CO

Denver, CO

501 to 1000 employees

Nonprofit Organization

Insurance Carriers

Insurance

$500 million to $1 billion (USD)

-1

Pinnacol Assurance

CO

Data Scientist

$81K-$130K (Glassdoor est.)

About Our Team We understand that the first step to a successful home project and a happy homeowner starts with finding the right pro. Our Data Science team is at the center of the matching process, and, as a contributing member of that team, you will build real-time predictive models and evaluate their performance to ensure that homeowners connect with the most qualified contractors. As a data scientist, you will collaborate with a talented team of data scientists on a broad array of technically challenging problems. You will play an integral role in providing optics into how our real-time prediction capabilities drive value into our marketplace, as well as performing market segmentation to deliver the right message to the right consumer as you build up machine learning skills. If you are highly analytical, enjoy a collaborative work environment that encourages mentorship and learning, and have a strong intellectual curiosity to solve customer problems, the Data Science team at Porch just might be the place for you. What You Will Do The right candidate will possess strong communication skills, an ability to work well independently and collaboratively, and a knack for solving ambiguous problems. You should have experience with machine learning techniques, statistics, data mining, and an interest in building real-time predictive models at scale. Our data science stack includes Google Cloud, BigTable, Spark (Scala and Python), Postgres and the standard Python data science stack (Numpy, Pandas) Build and expand upon a broad array of data science models that predict event classification and revenue predictions, compute optimal auction pricing, and optimize internal operations (lead scoring) Provide optics and support for the Data Science team to evaluate performance of models Develop algorithms to automate dynamic model retraining to keep us operating at peak performance Perform structural time series analyses and A/B tests to evaluate the impact of product and model adjustments Optimize matching systems that connect homeowners and professionals Communicate technical results to a broad audience What You Bring A desire to work in a collaborative, intellectually curious environment. Master's degree or Ph.D. in statistics, econometrics, physics, mathematics, or similarly quantitative field 2+ years of hands-on experience in predictive modeling and data analysis Strong grasp of machine learning, data analytics, and data mining techniques Proficiency working with relational databases and SQL Experience working in Python (or similar scripting language like R) Strong communication skills About Porch At Porch, we are reinventing the way homeowners connect with professionals to get work done on their home. Are you passionate about building data-driven products? Do you enjoy combining statistical methods and machine learning to solve challenging puzzles? If so, join our team.

Porch 3.2

Seattle, WA

Seattle, WA

201 to 500 employees

Company - Private

Internet

Information Technology

Unknown / Non-Applicable

Angie's List, HomeAdvisor, Thumbtack

Porch

WA

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 - Quantitative

$86K-$139K (Glassdoor est.)

Truckstop.com is hiring a Data Scientist for our Chicago, Illinois location About Truckstop.com Truckstop.com is one of the largest online freight matching services in the trucking industry, providing a one-stop connection between carriers and brokers. Founded in 1995 as the first freight-matching marketplace to hit the Web, Truckstop.com has grown to provide load planning, transportation management, route optimization, real-time rates, powerful negotiation tools, and other logistics solutions. Clickhere to learn more about Truckstop.com’s history. Truckstop.com is backed by ICONIQ Capital, a privately-held financial advisory and technology growth equity investment firm. ICONIQ is a trusted advisor fostering meaningful strategic relationships across industries to source powerful ideas, magnify global impact and support a new generation of entrepreneurs and companies. About our Culture Truckstop is a destination where talented individuals can build an epic career. It is a place where talent feels connected, fulfilled and equipped to do what they do best while having fun doing it. We call our employees Partners because we are deeply interdependent upon each other to achieve remarkable things together. We believe that for talent to be their best selves, we must enable them with the freedom to exercise their own judgment, and provide them with the autonomy to experiment, to innovate, and test where they can go, so they can do something they never thought they could. Each of our Partners is unique. Be you is the message we foster. We look for Partners who are aware of, and who are confident in their talents and who are passionate about serving others. We will achieve massive success when you can be yourself. E pluribus unum -Out of many, one We look for Partners who enjoy working in a One Team mindset environment. By combining our unique personalities, experiences, skills and knowledge we can accomplish amazing feats together! Truckstop.com does not utilize third party vendors for recruiting, nor accept unsolicited resumes from recruiters, staffing agencies or employment firms. Position Summary: We are looking for an experienced Data Scientist who is focused on the quantitative side of the business. Someone who is innovative, highly-analytical and technical, and has excellent communication skills with professional presence to collaborate cross-functionally and contribute expertise through actionable business intelligence to assist in complex organizational decisions. Responsibilities and Duties: Select features, build and optimize classifiers using innovative machine learning techniques. Process, cleanse and verify integrity of data used for analysis. Perform ad-hoc analysis and present results clearly and concisely. Create automated anomaly detection systems and constant performance tracking. Engage with business partners to develop deep understanding of supply chain industry. Collaborate with data scientists and software engineers on data design and reporting strategy across business functions to ensure cohesive alignment. Direct appropriate architecture, modeling, harmonization, and governance of data. Ensure strict data hygiene to ensure data is clean, accurate, concise, comprehensive, and complete Strong leadership skills with a passion for developing others. Review work across your team, provide feedback for professional development. Able to concisely explain complex analysis and insights to stakeholders. Demonstrated success in effective problem-solving and creative thinking. Independently influence cross-functional business groups. Able to juggle multiple priorities and deliver results in a fast-paced, dynamic environment. Experience leveraging research and analytics to support data-driven recommendations. Qualifications and Skills: Master’s Degree or PhD in Data Science/Analytics/Statistics/Operations Research/Computer Science/Economics/Computational Social Science/Related Quantitative Field. Bachelor’s Degree in Data Science/Analytics/Statistics/Operations Research/Computer Science/Economics/Computational Social Science/ Related Quantitative Field. Technical expertise in machine learning, architecture, scaling, and modeling. Experience in applied statistics and machine learning. Experience working with large data sets- structured/unstructured. Strong data visualization skills. Proficiency in Python, R and interacting with SQL Server and MongoDB databases. Experience in supply chain, transportation, or logistics industry nice to have. Familiarity with GIS and geographical data analysis. Understanding of GitHub and software version control a plus. Experience with AWS architecture a plus. Experience in Agile environments with rapid iterations. Integrating model outputs with data visualization tools such as D3.js and Leaflet.js Knowledge of multiple programing languages. Experience with supervised and unsupervised machine learning algorithms, and ensemble methods, such as: K-Means, PCA, Regression, Neural Networks, Decision Trees, Gradient Boosting. Experience working in a Linux environment nice to have. Physical Demands: Minimum physical exertion. While performing the duties of this position, the employee is frequently required to sit, communicate, reach and manipulate objects, tools or controls. The position requires mobility. Duties involve moving materials weighing up to 5 pounds on a regular basis. Manual dexterity and coordination are required over 75% of the work period while operating equipment such as computer keyboard, mouse, 10-key calculator and copier/fax. Work Environment: Ideal protected indoor office work environment and clean, non-hazardous work area. The noise level in the work environment is typical of most office environments with telephones, personal interruptions, and background noises. The above description covers the most significant duties performed but does not include other related occasional work that may be assigned or is completed by the employee. Truckstop.com provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Truckstop.com 3.8

Chicago, IL

New Plymouth, ID

501 to 1000 employees

Company - Private

Logistics & Supply Chain

Transportation & Logistics

Unknown / Non-Applicable

-1

Truckstop.com

IL

Data Scientist

$63K-$105K (Glassdoor est.)

Position Summary Our Data Science team is currently in need of a Data Scientist to join our growing organization. The ideal candidate will be intricately involved in running analytical studies in a methodical manner, and will regularly evaluate alternate models via theoretical approaches. This is the perfect opportunity for the successful candidate to become a part of an innovative and energetic team that develops analysis tools and processes which will influence both our products and our clients. This position will analyze, develop, and update data, programs, documents, and visualizations for large external clients, along with internal new and existing projects/products, and for support of various departments within SMC³. This position requires proficiency in creative thinking and logic application. We value creativity, communication and a positive attitude. Key Job Functions •Develop a complete understanding of our business problems and how we use data to solve them •Parse, standardize, and analyze large volumes of data •Work closely with Data and Application Development teams to create or update products in an on demand environment •Help to align products and processes to the strategy of the company and the problems of our clients •Focus on continuous improvement and understand the gaps in the data and capabilities of the products we deliver •Create visualizations for use in analyzing/developing data and to provide and present results to other areas of the company •Identify and understand the needs of data projects, and to research and apply creative solutions using new or existing processes/software •Create original documents that describe project specifications, logic flow and data analysis findings •Work with various file formats such as ASCII, flat and comma delimited to identify issues, develop data, and perform analysis Required Qualifications •Bachelor’s Degree in Statistics, Mathematics, Computer Science or a related quantitative discipline •Proven experience with data mining •Experience programming VB6/VBA (Microsoft Access, Excel) •Experience with Statistical Algorithms including Boosting, Clustering and Regression •Detail oriented- Proven ability to “get it right” the first time when updating data, developing program code, and writing documents Preferred Qualifications •Master’s Degree in Statistics, Mathematics, Computer Science or a related quantitative discipline •At least 2 years of experience in advanced analytics •Experience working with big data •Strong critical thinking and communication skills for explaining algorithms and processes to stakeholders •Familiarity with data fundamentals including SQL Bonus Skills •Knowledge of Python or Tableau Additional Competencies •Self-Directed •Problem Solving •Interpersonal Skills •Strong Written and Verbal Communication Skills •Accuracy/Attention to Detail •Adaptability •Dependability

SMC 3 4.3

Louisville, KY

Peachtree City, GA

51 to 200 employees

Nonprofit Organization

Logistics & Supply Chain

Transportation & Logistics

$10 to $25 million (USD)

-1

SMC 3

KY

Data Scientist

$109K-$177K (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 Data Scientist who wants 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). If that sounds appealing to you - we'd love to chat. 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 Experience with machine learning or statistics 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: Must be eligible to obtain and maintain a TS/SCI with Poly clearance 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

Digital Health Data Scientist

$63K-$110K (Glassdoor est.)

ROLE SUMMARY The Digital Health Data Scientist supports Digital Medicine & Translational Imaging projects from inception to completion by leveraging her/his technical expertise. S/he guides the selection of devices, writes code to ingest data from these devices, implements the pipelines for bringing together data from multiple sources and develops novel digital biomarkers by using advanced signal processing and machine learning techniques. The Digital Health Data Scientist is a key member of the Digital Medicine team and partners closely with the scientific and clinical team members, applying technical, software development and analytics knowledge to support the research, development and deployment of digital biomarkers in clinical trials. ROLE RESPONSIBILITIES Use structured and unstructured data to develop digital biomarkers by implementing novel signal processing and machine learning workflows Engineer and extract features from raw data that capture clinically relevant aspects of disease symptoms Develop software tools and scripts at scale to support data analysis and interpretation pipelines Present and discuss findings with project teams, support iterative solutions development and scientific research Integrate and summarize large-scale data and information across multiple scientific, translational, and clinical domains Communicate effectively with team members, experts and regulatory authorities Function in the matrix of both project-centric and discipline-centric expectations QUALIFICATIONS Training & Education MS in Biomedical Engineering, Electrical Engineering, Computer Science, or a similar technical field with 1-3 years of experience; Skills Strong background in data science, signal processing and machine learning Skilled at implementing ideas in Python, R or MATLAB Excellent communication (written and verbal) and presentation skills Experience with analysis of data from wearable devices with motion (e.g. accelerometer, gyroscope) and physiological (e.g. ECG, EMG) sensors Knowledge of human biomechanics and/or physiology Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. Medical

Pfizer 4.0

Cambridge, MA

New York, NY

10000+ employees

Company - Public

Biotech & Pharmaceuticals

Biotech & Pharmaceuticals

$10+ billion (USD)

-1

Pfizer

MA

Data Scientist

$75K-$124K (Glassdoor est.)

As the Enterprise Data and Analytics Center of Excellence, we empower First Tech business leaders to drive differentiating member experiences and business value by leveraging information and insights. Key responsibilities of the Advanced Analytics Data Scientist include interfacing with all business stake holders to formulate the right business questions, address them with scientific rigor, design, implement, test, productize, monitor and document data science assets effectively, evangelize data science to the organization and contribute to rendering First Tech data-driven. Here's what you can expect from the job and what you need to be successful: Job Duties Accelerate stakeholder and First Tech business growth and success with meaningful insights gained via advanced analytics models and solutions targeted to answer the most important business questions Consult stakeholders about how advanced analytics and a data-driven approach can help them achieve greater success in driving their business units. Evangelize data science and the mission of the Advanced Analytics team. Generate and effectively communicate the stories data tell us for each Advanced Analytics initiative Work with cross-functional team members to identify use cases, formulate the right questions, suggest scientifically sound ways to address them and prioritize actionable, high-impact insights across a variety of core business areas Develop end-to-end from data acquisition to production, data pipelines and predictive/prescriptive models on large-scale data sets (structured and unstructured) to address various business problems; develop deep-dive analysis and machine learning models to drive member value and partner success Research, design, implement and validate cutting-edge algorithms/models to analyze diverse sources of data to achieve targeted outcomes Deliver informative and effective findings, results and recommendations from statistical analysis to stakeholders (able to articulate the findings clearly to both technical and non-technical audiences) Initiate and drive projects to completion independently, including helping stakeholders to integrate advanced analytics assets into their operational processes Recommend ongoing improvements / tuning to methods and algorithms currently in use/production Work with a team of analysts and cross-functional business teams to provide expertise on mathematical concepts that are leveraged across the breadth of our solutions for the entire organization Provide technical guidance and mentorship to junior team members on analytics and analysis best practices, solution design as well as lead code/design reviews Process, cleanse, and verify the integrity of data used for analysis Essential Skills 3+ years' experience in Analytics/Data Science working with large amounts of data Ability to analyze a problem, formulate and communicate the right questions and suggest reasonable and effective ways to address them Expert command of the English language, persuasive written and verbal communication and an ability to effectively tell stories with data Proficiency in the use of scripting languages (R, Python) and libraries/packages (pandas, numpy, scipy, scikit-learn, XGBoost, PySpark, sparkR, sparklyR etc.) Experience with AWS, Git, Docker or Kubernetes is preferred Experience with SQL/Relational databases. Experience with Dataiku is preferred Strong experience in data mining, NLP, predictive and prescriptive analytics approaches Deep understanding of machine learning (ML) techniques include clustering, classification, regression, decision trees, neural nets (MXnet, Tensorflow, Keras etc.), support vector machines, genetic algorithms, anomaly detection, association rules, sequential pattern discovery, and text mining Experience with data visualization tools (Tableau preferred) Strong analytical and problem solving skills. Ability to translate business objectives into actionable analyses Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses and action-oriented outcomes A focus on delivering business results including improved end-to-end customer experience and financial metrics. Able to function effectively in multi-disciplinary teams that include business and technical contributors Location: Hillsboro, OR 97134 First Tech is not currently offering Visa sponsorship for this position

First Tech Federal Credit Union 3.5

Hillsboro, OR

San Jose, CA

1001 to 5000 employees

Company - Private

Banks & Credit Unions

Finance

$100 to $500 million (USD)

-1

First Tech Federal Credit Union

OR

Associate Data Analyst

$34K-$61K (Glassdoor est.)

Friday, January 17, 2020 Our Enterprise Data and Analytics group is looking for an Associate Data Analyst to join our growing team in our Worcester Headquarters. Position summary: Applies analytical skills to the development and enhancement of unique proprietary business tools that drive the optimization and consolidation of Agent partners business and are strategic differentiator to the unique Hanover business model. Assists in developing tools, processes and reporting analytics in support of business growth and ongoing business needs. Communicates with customers, external partners and internal departments frequently. This is a full-time, exempt role. Responsibilities/Essential Functions: • With oversight, provides support to complex business/technical processes and tools for multiple products, requiring the use of technical solutions across multiple departments or lines of business. • Serve as a team member on projects of large scope and moderate to high complexity. Able to work independently with guidance and direction as appropriate. • Has aptitude to develop and learn multiple technical business systems enterprise wide. • Develop data and reports for field and customers to clearly articulate value to agent partners and customers. • Provide timely and accurate analytical support to team supported, ensures results are validated to ensure accuracy. • Develop an understanding of business processes and the P&C Insurance business to translate requirements into analytical reporting. • Summarize information and effectively communicate analyses in writing and verbally to internal partners. • Participate in the development of innovative solutions by approaching problems with curiosity and open-mindedness, using existing information to its fullest potential. • Interviews business users to obtain data requirements for applications. • Collect, analyze, and report data to meet customer needs. • Participate in the development of new tools and process enhancements to enable new capabilities and solutions to drive business growth. • Assist in various projects, meet deadlines, and handle multiple priorities in a fast-paced, ever-changing and evolving business environment. • Establishing relationships with one or more business partners by building knowledge of business processes/drivers and technical systems. • Document processes to allow for consistent approach to future initiatives. • Proactively research and apply Best Practices to technology solutions. • Participating in the development of prototypes for various reporting, system and tools. • May research, Prototype and Write research briefs on emerging technologies related to data and analytics. • May develop code, tests, debugs and document working data and analytics systems to demonstrate the business value. • May apply proven data management techniques, application development methodologies and other technologies to produce comprehensive prototype solutions. • May perform source system data analysis. Position Requirements: • Bachelor’s degree or 1+ years of related analytical experience required. • Solid understanding of Microsoft Excel. • Strong business and financial acumen, has the aptitude to learn. • Intellectually curious. • Solid analytical and problem solving skills. • Strong communication and interpersonal skills. • Self-motivated and organized. • May require knowledge of programming language and scripting language related to data and integration. EEO statement: “The Hanover values diversity in the workplace and among our customers. The company provides equal opportunity for employment and promotion to all qualified employees and applicants on the basis of experience, training, education, and ability to do the available work without regard to race, religion, color, age, sex/gender, sexual orientation, national origin, gender identity, disability, marital status, veteran status, genetic information, ancestry or any other status protected by law. Furthermore, The Hanover Insurance Group is committed to providing an equal opportunity workplace that is free of discrimination and harassment based on national origin, race, color, religion, gender, ancestry, age, sexual orientation, gender identity, disability, marital status, veteran status, genetic information or any other status protected by law.” As an equal opportunity employer, Hanover does not discriminate against qualified individuals with disabilities. If you require a reasonable accommodation, as a candidate for employment, please inform The Hanover Talent Acquisition office. Privacy Policy: To view our privacy policy and online privacy statement, click here. Applicants who are California residents: To see the types of information we may collect from applicants and employees and how we use it, please click here. Other details Job Function Actuarial Pay Type Salary

The Hanover Insurance Group 3.7

Worcester, MA

Worcester, MA

5001 to 10000 employees

Company - Public

Insurance Carriers

Insurance

$5 to $10 billion (USD)

-1

The Hanover Insurance Group

MA

Clinical Data Scientist

$63K-$105K (Glassdoor est.)

THIS ROLE MUST BE BASED IN SAN DIEGO As part of the Data Monitoring and Management group, an integral delivery unit within the Global Product Development (GPD) organization, the Clinical Data Scientist is responsible for timely and high quality data management deliverables supporting the Pfizer portfolio. The Clinical Data Scientist designs, develops, and maintains key data management deliverables used to collect, review, monitor, and ensure the integrity of clinical data, oversees application of standards, data review and query management, and is accountable for quality study data set release and consistency in asset/submission data. ROLE RESPONSIBILITIES Serve as Clinical Data Scientist for one or more clinical trials assuming responsibility for all DM&M activities including selection and application of data acquisition standards, Data Management Plan, selection of quality risk indicators, third party study data due diligence Participates and ensures quality database design including documentation, testing and implementation of clinical data collection tools, both CRF and non-CRF, using an electronic data capture (EDC) system and/or other data collection systems. Serve as a technical resource to the study teams for DM and RBM standards, tools, data provisioning, and reporting Partners with Research/Business Units and any external DM service provider to deliver high quality data management for all studies as assigned. Proactively drives quality and efficiency to meet timeline and milestones for data management, ensuring scientific and operational excellence in support of strategic imperatives and in collaboration with the cross functional study team (s). Ensure work carried out by DM providers is in accordance with applicable SOPs and working practices. Ensure the required study-specific DM&M documents in the Trial Master File (TMF) are of high quality and are filed contemporaneously. Ensure operational excellence in collaboration with partners for application of standards, data acquisition, proactive data review and data integrity monitoring, data cleaning, e-data processing, data access and visualization, and database release. QUALIFICATIONS Proficient experience using Oracle Inform EDC software Experience with Oracle DMW preferred Working experience applying CDISC CDASH standards Demonstrated successful experience in all relevant clinical data management activities in a BioPharmaceutical or CRO setting Working knowledge of all phases of clinical trials and ability to assess and determine study requirement from protocol review Strong Project and Risk Management CRO and vendor oversight experience preferred Strong verbal and written communication skills Consistent, detail oriented, communicative, dedicated to do a job well done Minimum 5 years Data Management experience required Working knowledge of clinical research, FDA & ICH, GCP, GCDMP, and related regulatory requirements Experience using data visualization tools (e.g. Spotfire, jReview) Familiarity with MedDRA/WHO-Drug Proficiency in the use of Microsoft Office Suite of tools (Outlook, Word, Excel, etc.) Bachelor’s degree required. ROLE MUST BE BASED IN SAN DIEGO RELOCATION ASSISTANCE NOT OFFERED WITH THIS ROLE Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. #LI-PFE Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.

Pfizer 4.0

Groton, CT

New York, NY

10000+ employees

Company - Public

Biotech & Pharmaceuticals

Biotech & Pharmaceuticals

$10+ billion (USD)

-1

Pfizer

CT

Data Scientist

$80K-$90K (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, every day. 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 Data Scientist will work closely with the VP of FP&A and the Quantitative Analytics Manager to implement advanced analytical models and other data-driven solutions. Responsibilities: Work with key stakeholders throughout the organization to identify opportunities using financial data to develop business solutions. Develop new and enhance existing data collection procedures to ensure that all data relevant for analyses is captured. Cleanse, consolidate, and verify the integrity of data used in analyses. Build and validate predictive models to increase customer retention, revenue generation, and other business outcomes. Develop relevant statistical models to assist with profitability forecasting Create the analytics to leverage known, inferred and appended information about origins and recognizing patterns to assist in outlook forecasting Assist in the design and data modeling of data warehouse. Visualize data, especially in reports and dashboards, to communicate analysis results to stakeholders. Extend data collection to unstructured data within the company and external sources Mine and collect data (both structured and unstructured) to detect patterns, opportunities and insights that drive our organization Create and execute automation and data mining requests utilizing SQL, Access, Excel, SAS and other statistical programs Trouble shoot forecast and optimization anomalies with FP&A team through the use of statistical and mathematical optimization models. Develop testing to explain and or reduce these anomalies. Oversee and develop key metric forecasts as well as provide budget support based on trends in the business/industry. Minimum Qualifications: Master's degree in Statistics, Computer Science, Mathematics or other quantitative discipline required 2-3 years of experience in similar role (Master's Degree) 0-2 years of experience in similar role (PhD) Experience leveraging predictive modeling, big data analytics, exploratory data analysis and machine learning to drive significant business impact Experience with statistical computer languages (Python, R etc.) to manipulate and analyze large datasets preferred. Experience with data visualization tools like D3.js, matplotlib, etc., preferred Exceptional understanding of machine learning algorithms such as Random Forest, SVM, k-NN, Naïve Bayes, Gradient Boosting a plus. Applied statistical skills including statistical testing, regression, etc. Experience with data bases, query languages, and associated data architecture. Experience with distributed computing tools (Hive, Spark, etc.) is a plus. Strong analytical skills and ability to meet project deadlines. 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

Data Scientist

$56K-$97K (Glassdoor est.)

*Organization and Job ID** Job ID: 310709 Directorate: Earth & Biological Sciences Division: Biological Sciences Group: Exposure Science Team *Job Description** The Biological System Science (BSS) Group in the Biological Sciences Division of the Pacific Northwest National Laboratory (PNNL) is seeking a staff scientist with multidisciplinary experience in computational chemistry, cheminformatics, advanced statistics and/or machine learning/deep learning/AI. Preferred candidates will have a broad understanding of the state of computational metabolomics and experience in designing and implementing novel deep learning networks for chemistry applications. Research experience in drug design, cheminformatics, deep learning, machine learning and/or small molecule identification is also highly valued. Successful candidates will join a large, uniquely collaborative, collegial group of innovators driving the integration of data science, computational science and analytical chemistry to solve the nations most challenging problems in human health, chemical forensics, and national security. The BSS Group is diverse and inclusive, working closely with colleagues across the laboratory with expertise in computational biology, integrative omics, applied mathematics, computer science, and statistics. + Apply knowledge of statistics, machine learning, advanced mathematics, simulation, software development, and data modeling to to design, development and implement methods that integrate, clean and analyze data, recognize patterns, address uncertainty, pose questions, and make discoveries from structured and/or unstructured data. + Produce solutions driven by exploratory data analysis from complex and high-dimensional datasets. + Design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from data. + Develop and maintain existing deep learning networks that generate novel molecules for drug discovery applications + Contribue or author proposals, peer-reviewed papers, and other technical products. *Minimum Qualifications** BS/BA with 0-1 years of experience or MS/MA with 0-1 years of experience *Preferred Qualifications** + MS in chemical engineering, computer science, or related field with a GPA of 3.5+ 5+ years of research experience + Intermediate level programming experience (preferably Python) and high-performance computing experience + At least one first author published, or proof of submitted, paper applying deep learning for use in novel compound generation + Understanding of the NMDA receptor and potential drug targets + Research experience in drug design, cheminformatics, deep learning, machine learning and/or small molecule identification *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._** _Directorate:_ _Earth & Biological Sciences_ _Job Category:_ _Scientists/Scientific Support_ _Group:_ _Biological Systems Science_ _Opening Date:_ _2020-03-26_ _Closing Date:_ _2020-04-05_

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 Scientist

$72K-$120K (Glassdoor est.)

Preferred Qualifications Masters degree or doctorate in statistics or another applied science field or equivalent experience Considerable experience with statistical tools and packages (e.g., SAS, SPSS, Minitab, R) and methods to incorporate statistical results into analyses Proficiency in at least one programming language, such as Python, Java or C/C++ Strong knowledge of statistical methods, particularly in the areas of modeling and business analytics Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources Ability to communicate complex quantitative analysis in a clear, precise and actionable manner Experience with modeling and forecasting Working knowledge of standard querying with SQL Advanced hands-on experience with the Microsoft Office suite Proven track record as a lead resource for the business Strong written and verbal communication skills Job Summary The Data Scientist works with business owners and Technology teams to provide deep analysis and guidance on crucial business opportunities across many areas within the company. They draw upon their knowledge and experience in applied statistics, data mining, modeling and forecasting to ensure that results are accurate and clear, providing actionable opportunities for business leaders. The Data Scientist must be detail-oriented and highly aware of the impact of their analysis and solutions across the company. They take initiative and focus on finding innovative solutions for a myriad of business challenges. Responsibilities Work closely with various teams across the company to identify and solve business challenges utilizing large structured, semi-structured and unstructured data Drive the collection of new data and the refinement of existing data sources for deep statistical analysis and modeling Clean data in preparation for analysis and modeling Perform statistical summaries and tests for relevant business questions Develop predictive statistical, behavioral or other models via supervised and unsupervised machine learning, statistical analysis and other modeling techniques Translate business opportunities into data-driven machine learning and modeling solutions that revamp the business process Deploy applicable models into production system for business use Perform statistical testing to enhance the predictability of deployed models Summarize conclusions and solutions for presentation Develop strong relationships with subject matter experts Develop best practices for experimentation Who We Are Amrock is one of the largest providers of title insurance, property valuations and settlement services in the nation. The company is an authorized agent of the highest-rated title insurers in the industry, and its solutions power many of the nation's largest residential lending institutions. Amrock is a preferred provider to five of the top 20 Fortune 100 companies and many of the largest residential mortgage lenders. The company is based in Detroit and retains regional operating centers in Ohio, California, Pennsylvania and Texas. Disclaimer This is an outline of the primary responsibilities of this position. As with everything in life, things change. The tasks and responsibilities can be changed, added to, removed, amended, deleted and modified at any time by the leadership group.

Amrock 3.6

Detroit, MI

Detroit, MI

1001 to 5000 employees

Company - Private

Real Estate

Real Estate

$500 million to $1 billion (USD)

-1

Amrock

MI

Data Scientist / Machine Learning Expert

$86K-$143K (Glassdoor est.)

Posting Title Data Scientist / Machine Learning Expert 04-Feb-2020 Job ID 288341BR Job Description ONE Global Discovery Chemistry Community working across 7 disease areas at the Novartis Institutes for BioMedical Research (NIBR) is seeking a highly talented and motivated Data Scientist to join our Global Discovery Chemistry Department in Cambridge, MA. The successful candidate will join an energizing and collaborative research organization, working alongside colleagues who are committed to improving human health through the discovery of transformative medicines. We are seeking a unique data scientist with the skills, experience and passion to extract new knowledge and disruptive insights from the large and rich body of data collected by one of the world’s leading pharmaceutical companies. You will be a member of our global Computer-Aided Drug Discovery (CADD) group, an interdisciplinary team of expert molecular modelers, cheminformaticians, and data scientists. Teamed up with domain experts from biology, chemistry and translational medicine, this is a unique opportunity to develop and apply cutting-edge machine learning technologies to uncover insights to real-world drug discovery problems and innovate paths to new medicines. Your responsibilities include: •Develop and implement methods for extracting patterns and correlations from both internal and external data sources using machine learning toolkits •Develop workflows for conducting comparative analysis among Novartis’ diverse data sources as well as generalizing approaches developed in-house or externally. •Enable open-source solutions for internal use and implement cutting-edge published scientific methods. •Develop customized machine learning solutions including data querying and knowledge extraction. •Interact and be part of interdisciplinary project teams to drive effective decision-making by mining and developing predictive models •Develop new skills in the area of cheminformatics and drug discovery and leverage those to accelerate development of new machine learning algorithms •Keep ahead of scientific literature and interact with internal and external scientists to integrate novel data science technologies Minimum requirements Education: Advanced degree (M.Sc. or higher) in data science and machine learning, statistics, computer sciences, cheminformatics, mathematics, computational chemistry, computational biology, bioinformatics, or related field. Minimum experience & skills: •In-depth experience with modern and classical machine learning methods •Strong statistical foundation with broad knowledge of supervised and unsupervised techniques •Programming experience (preferred Python, R, C++) preferably in Linux and high-performance computing environments •Good listener - strong, concise, and consistent written and oral communication •Talent for communicating stories through data visualizations •Proven ability to collaborate with others •A passion for tackling challenging problems and developing creative solutions •A drive for self-development with a focus on scientific know-how Additional qualifications that will help in the role: •Demonstrated impact using machine learning libraries, such as scikit-learn, PyTorch or similar in a cheminformatics context •Hands on experience with data analysis software such as Spotfire, R-shiny or similar •Working experience with open-source cheminformatics toolkits such as RDKit •Working experience with source-code management systems such as Git/github/bitbucket •Familiar with the foundational concepts in molecular biology, pharmacology or medicine. Working knowledge of medicinal chemistry and drug discovery is a plus Why consider Novartis? 750 million. That’s how many lives our products touch. And while we’re proud of that fact, in this world of digital and technological transformation, we must also ask ourselves this: how can we continue to improve and extend even more people’s lives? We believe the answers are found when curious, courageous and collaborative people like you are brought together in an inspiring environment. Where you’re given opportunities to explore the power of digital and data. Where you’re empowered to risk failure by taking smart risks, and where you’re surrounded by people who share your determination to tackle the world’s toughest medical challenges. We are Novartis. Join us and help us reimagine medicine. Job Type Full Time Country USA Work Location Cambridge, MA Functional Area Research & Development Division NIBR Business Unit Global Discovery Chemistry Employment Type Regular Company/Legal Entity NIBRI EEO Statement The Novartis Group of Companies are Equal Opportunity Employers and take pride in maintaining a diverse environment. We do not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status. Shift Work No

Novartis 3.8

Cambridge, MA

Basel, Switzerland

10000+ employees

Company - Public

Biotech & Pharmaceuticals

Biotech & Pharmaceuticals

$10+ billion (USD)

-1

Novartis

MA

Data Scientist

$93K-$149K (Glassdoor est.)

Title: Software Engineer, Data Science Design, develop and implement ML/Analytics features for high-performance cloud monitoring, analytics and optimization software. Description: AppFormix team in Juniper is seeking a Data Science engineer to work on the developing sophisticated analytics for our cloud monitoring and optimization platform. You will be responsible for solving complex problems and designing solutions which will provide the user meaningful insights into health and usage patterns of their cloud infrastructure. Responsibilities: • Design and develop ML/analytics related features by leveraging supervised/unsupervised machine learning algorithms, data science knowledge. • Develop tools for anomaly detection, forecast models, capacity planning, metric correlation models which should work at scale for large volumes of time- series data. • Work with the team to develop APIs, schemas. • Contribute to the test and automation infrastructure by adding more unit tests, system tests to ensure high code quality and reliability. • Participate in design discussions and code reviews. Minimum Qualifications: • Bachelor’s or Master's degree or foreign equivalent in Computer Engineering or Computer Science. • Proficiency in machine learning, data science. Ability to leverage the knowledge to visualize, design and build machine learning models and heuristics to provide useful insights on cloud platforms resource usage patterns. • Proficiency in Python or any other Object Oriented Languages • Deep Learning/Machine Learning Frameworks: (Scikit-Learn, TensorFlow, Keras, PySpark ML) • Ability to clearly thought out APIs and write clean, efficient code. • Ability to handle multiple tasks, prioritize and meet deadlines in a fast-paced work environment. • Excellent verbal and written communication skills Preferred Qualifications: • 2+ years of experience in developing ML/Analytics • Experience in building highly scalable distributed systems • Working knowledge of implementing web services backend • Experience with REST APIs • Experience with databases (Mongo, Redis, SQL) 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

Sunnyvale, CA

Sunnyvale, CA

5001 to 10000 employees

Company - Public

Telecommunications Services

Telecommunications

$2 to $5 billion (USD)

-1

Juniper Networks

CA

Data Scientist

$85K-$140K (Glassdoor est.)

New England Biolabs is seeking a Data Scientist to build, improve and utilize the varied and complex data sources we use to make excellent biological products. NEB provides a world-class working environment including high quality computational infrastructure, skilled colleagues, and opportunities to exchange knowledge with internal and external scientists. Primary Responsibilities: Construct, extend, and maintain scientific software tools used at NEB to study enzymes and their activities. Collaborate with members of the Research, Product Development, Production, and Quality Control groups to identify patterns and trends in quantitative scientific data. Required Qualifications and Experience: Degree in a computational field and meaningful experience working with varied and complex datasets. Software development skills (Ruby, Python, R, or others). Appreciation for simple, high-quality, maintainable software. Enthusiasm for data modeling, storage and visualization. Demonstrated oral and written communication skills. Strong work ethic, emphasizing both efficiency and quality of work. Accessible evidence of software development history (e.g., GitHub). Passion for learning. Interest in applications of biologically derived tools to address important challenges. Preferred Qualifications and Experience: Expertise with high volume analysis of data from many sources. Experience with virtualization technologies (kubernetes, cvmfs, lxc). Experience with infrastructure automation tools (Ansible, Chef, Salt, etc.) Modern web development skills (HTML5, Rails, Vue.js, etc.). Cluster computing and scientific workflow frameworks (Galaxy, Nextflow, snakemake, CWL, etc.). New England Biolabs, Inc. is an Equal Opportunity/Affirmative Action Employer of Minorities, Females, Disabled and Protected Veterans and a participating employer in the Employment Verification (E-Verify) program. More in-depth details of EEO are available here. If you need an accommodation for any part of the employment process because of a medical condition or disability, please send an email to hr@neb.com or call 978-927-5054 to let us know the nature of your request.

New England Biolabs 4.7

Ipswich, MA

Ipswich, MA

201 to 500 employees

Company - Private

Biotech & Pharmaceuticals

Biotech & Pharmaceuticals

Unknown / Non-Applicable

Thermo Fisher Scientific, Enzymatics, Illumina

New England Biolabs

MA

Web Data Analyst

$77K-$135K (Glassdoor est.)

We are looking for a Web Data Analyst to assist with a 6-12+ month project with a client in San Jose Required Skills / Experience : BS/MS in Math, Science, Marketing, Econometrics, Computer science or other quantitative discipline 5+ years in web analytics with the eCommerce experience and tracking systems for online behavior. 3+ years in Big data analytics. 3+ years hands on experience in Adobe Analytics UI (Omniture), Adobe Report Builder, Adobe Data Wearhouse and Web clickstream data. Knowledge of heat map applications. Proven ability to extract, conceptualize and communicate the significant patterns of visitor behavior from web data that identifies important business opportunities. Deep knowledge of web data and proven record in experiment design (A/B test) as well as building engagement funnel, conversion funnel and other web engagement KPIs. Proficiency in close loop data analytics - logic development, code execution, data visualization and storytelling. Ability to articulate optimization opportunities and translate business questions into appropriate statistical techniques. Significant experience working with Big data, data mining and data modeling that translates into project development, execution and insights delivery. Demonstrated fluency in working in multi system tracking environment and ability to derive insights based on data collection from different sources. Outstanding skills in data delivery technologies and tools not limited to Tableau, Excel, PowerPoint/Keynote. Fluency in SQL, big data applications, CLI commands, scripting languages such as Python/R, statistical applications and data visualization tools (Tableau, Power BI or ClickView) Passion for data discovery and striving for accuracy.

Clarity Insights 4.2

San Jose, CA

Chicago, IL

201 to 500 employees

Company - Private

IT Services

Information Technology

Unknown / Non-Applicable

-1

Clarity Insights

CA

Data Scientist

$82K-$132K (Glassdoor est.)

Overview Are you passionate about changing the world through machine learning and location intelligence? If yes, then it’s the right time to join our team because we are about to do so! With the IoT revolution (30 billion sensors by 2020), the consumerization of mapping, and location data growing exponentially day after day, location is becoming extremely important to more and more people. We want to enable organizations and businesses to go beyond basic visualization and analytics of such massive data, to the realm of being two or three steps ahead of the game by extracting advanced levels of intelligence from it, predicting important events, and automating significant proportions of their work through AI and machine learning. We are looking for an entrepreneurial, collaborative person with strong hands-on experience and solid track record with statistical analysis, machine learning, predictive analytics, software engineering, and passion for location to help us on our mission to build world class predictive location analytics solutions for our customers in 160+ countries. Responsibilities: Build high-quality prediction systems that solve our customers' business problems by applying data mining and machine learning techniques; doing statistical analysis; and exploring, interpreting, and analyzing datasets for patterns of interest Work closely with different teams on understanding our customers’ needs to craft and pitch machine learning use cases to them Model business problems to machine learning ones, mapping business data to dependent and independent features, doing proper feature engineering, iterating with different predictive models, conducting hyper parameter optimization to yield highest prediction accuracy, and deploying the model to production Help build the data science and machine learning capability inside Esri: develop best practices and patterns for geospatial machine learning, develop reusable technical components for demos and POCs, and identify and help establish needed technology stack and infrastructure Keep up to date with latest technology trends in machine and deep learning and quickly learn about new frameworks/techniques to be used in projects delivery Requirements 2+ years of practical machine learning experience, some of which is within established technical organizations Self-learner with strong communication skills (writing markdown README files, blogs, or how-to instructions) Experience with applied statistics skills such as distributions, statistical testing, and regression Software engineering, continuous integration and lifecycle management Writing in Python, Java, Scala and extensive use of unit tests, Git, and Docker Ability to perform data extraction, transformation, loading from multiple data sources and sinks Experience in data visualization such as in Tableau or Jupyter Notebooks Model building and hyper parameter tuning Experience with deploying software on AWS, Azure, or other cloud service Experience in machine learning with deep learning and other supervised, unsupervised, and reinforcement learning methods Have a fundamental understanding of ML algorithms such as back propagation, ReLU, Bayes, Random Forests, etc. Experience dealing with massive data sets using big data tools Experience with time series analysis Bachelor's in mathematics, statistics, computer science, or related field, depending on position level (master's or PhD preferred) Recommended Qualifications: Experience with spatial and GIS concepts Experience with CUDA/GPU programming Familiarity with one or more of the following: Hadoop HDFS, Spark, Accumulo, Presto, MongoDB, Elastic Search, Cassandra, HBase, R, Mahout, Pig, and Hive, DC/OS, Kubernetes #LI-MS1 The Company Our passion for improving quality of life through geography is at the heart of everything we do. Esri’s geographic information system (GIS) technology inspires and enables governments, universities, and businesses worldwide to save money, lives, and our environment through a deeper understanding of the changing world around them. Carefully managed growth and zero debt give Esri stability that is uncommon in today's volatile business world. Privately held, we offer exceptional benefits, competitive salaries, 401(k) and profit-sharing programs, opportunities for personal and professional growth, and much more. Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need a reasonable accommodation for any part of the employment process, please email humanresources@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.

Esri 3.5

Redlands, CA

Redlands, CA

1001 to 5000 employees

Company - Private

Computer Hardware & Software

Information Technology

$1 to $2 billion (USD)

Pitney Bowes

Esri

CA

Data Scientist

$83K-$137K (Glassdoor est.)

STR is a government research contractor specializing in advanced research and development for defense, intelligence, and homeland security applications. We pride ourselves in developing cutting-edge technologies with significant and immediate impact on our national security. Our product is our staff; we prioritize cultivating a team of driven and talented scientists and engineers that together culminate into a premier company. Every Analyst a Scientist - One of our primary goals is to empower intelligence analysts to be able to study their data like scientists. The tools we develop focus on streamlining intelligence analysis through integrated algorithms and software that provide insight into the geopolitical landscape for use in operational intelligence missions around the world. The Role: As a Data Scientist, you will live by our motto that “Data is Destiny.” You will work with a diverse collection of massive datasets, including social media, structured and unstructured text, geospatial, time series, and imagery data. You will design, test, and validate statistical tests and machine learning models in support of cutting-edge problems in the national security space. Your expertise as a data scientist will aid a diverse team of researchers to build state-of-the-art tools and technologies that are deployed to extract and enrich intelligence used by analysts. If you would like to help intelligence and defense analysis keep pace with modern machine learning and software techniques, then this role is for you! Who you are: A degree in a scientific field such as Statistics, Mathematics, or Computer Science Experience in statistical modeling including performance evaluation and uncertainty quantification Proficiency with a scientific programming language, preferably Python, and familiarity with Numpy, Pandas, and/or Scikit-learn packages Experience in grooming sparse, incomplete, and noisy datasets Motivated collaborator and an excellent communicator of ideas to both technical and non-technical audiences US citizen and willing to obtain a U.S. Security Clearance Even better: MS or PhD in a scientific field such as Statistics, Mathematics, Computer Science, or Data Science or 2+ years of relevant work experience Familiarity with handling and analyzing data at scale, for example using Hadoop, Dask, Spark, and MapReduce Working knowledge of data store tools such as SQL and Elasticsearch, and experience interacting with databases Experience with deep learning and neural network training, testing, and evaluation with fluency in Tensorflow or PyTorch Specialized expertise in a data-rich field such as time-series analysis, graph analytics, geospatial analysis, image processing, or Bayesian programming Active U.S. Security Clearance Compensation: Competitive salary Comprehensive benefits (Medical, Dental, Vision, Disability, Life) 401k company match Competitive and flexible paid time off Continued higher education reimbursement Profit sharing (Additional match to 401k) Phone reimbursement plan And more! STR is dedicated to fostering a diverse and inclusive workforce where all employees, regardless of race, ethnicity, gender, neurodiversity, or other personal characteristics, feel valued, included, and empowered to achieve their best. We recognize that each employee’s backgrounds, experiences, and perspectives are essential for providing our customers with innovative solutions to challenging national security problems. STR’s commitment to attracting, retaining, and engaging talented and diverse professionals is demonstrated by our participation, sponsorship, and support in local and national minority organizations. Applicants must be US Citizens.

Systems & Technology Research 4.7

Woburn, MA

Woburn, MA

201 to 500 employees

Company - Private

Aerospace & Defense

Aerospace & Defense

$100 to $500 million (USD)

-1

Systems & Technology Research

MA

Senior Data Scientist

$115K-$180K (Glassdoor est.)

Sartorius Stedim Data Analytics, a market leader in advanced analytics and provider of Umetrics Suite of Data Analytics Solutions, is on a strong growth path driving new innovative solutions in the field. It currently has an outstanding opportunity for a Senior Data Scientist to drive customer applications, support the Sartorius sales teams and feedback customer needs into the development of new solutions. The incumbent for this key role will have a strong customer focus to help secure innovation and growth from both new and existing customers. What you can look forward to Assisting customers in solving business related problems using advanced data analysis and data driven technologies Supporting implementation of advanced analytics in industry Analyzing large amounts of data and building data driven models Initiating, leading and driving customer projects Training customers on the use of our software Supporting sales (pre/post) Supporting marketing & development Performing regular follow up with customers to track satisfaction, secure project momentum and discover additional opportunities Creating technical documents Attending and presenting at conferences, seminars and forums Developing & cultivating strong relationships with external and internal stakeholders Being part of a team of data scientists Skills and experience Minimum a master’s degree in a relevant field (engineering, life sciences, informatics, automation/control, etc.), Ph.D. preferred Minimum five years’ work experience within Biopharma or Pharma Minimum five years’ working knowledge of applied statistics including MVDA, DOE, MSPC, PAT, QbD, Model Predictive Control (MPC), MMPC, AI/Machine learning Strong bioprocess knowledge preferred Familiarity with Umetrics Suite of Data Analytics Solutions preferred (MODDE, SIMCA, SIMCA-online, Control Advisor, Active Dashboard) Working knowledge of prescriptive analytics preferred Working knowledge of Python scripting preferred Working knowledge of MATLAB, data historians and control strategies a plus Teaching, consulting and project management experience preferred Excellent communications skills, strong presentation skills Comfortable working independently Comfortable working from home office, willingness to travel (~25%) Strong identification with Sartorius core values: sustainability, openness, enjoyment Driving our future growth requires talented people. Sartorius is a dynamic organization suited to people who want to showcase skills, be recognized for expertise and thrive in a vibrant and innovative environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex or national origin. We are also an equal opportunity employer of individuals with disabilities and protected veterans. Please view equal employment opportunity posters provided by OFCCP here https://e-verify.uscis.gov/esp/media/resourcesContents/EverifyPosterEnglish.pdf https://e-verify.uscis.gov/esp/media/resourcesContents/EverifyPosterSpanish.pdf https://e-verify.uscis.gov/esp/media/resourcesContents/WebBPPOSTERRtoWEnglishversion.pdf https://e-verify.uscis.gov/esp/media/resourcesContents/WebBPPOSTERRtoWSpanishversion.pdf Interested? Driving our future growth requires talented people. Sartorius is a dynamic organisation suited to people who want to showcase skills, be recognised for expertise and thrive in a vibrant and innovative environment. To find out more about Sartorius as an employer visit us on Sartorius Careers Become part of our global team.

Sartorius 3.5

Fremont, CA

Gottingen, Germany

5001 to 10000 employees

Company - Public

Biotech & Pharmaceuticals

Biotech & Pharmaceuticals

$1 to $2 billion (USD)

-1

Sartorius

CA

Data Engineer

$74K-$138K (Glassdoor est.)

Lancer Insurance Company is looking for a Data Engineer to develop, maintain, test and evaluate data solutions in support of business goals. The person will also develop data models, corresponding data architecture documents and API’s. The right candidate should be an excellent communicator and strategic thinker. Duties and Responsibilities Create, design and maintain reusable datasets for analysis by data scientists. Assess new data sources to better understand availability and quality of data. Provide governance and best practices of data structures, data integrity, and querying. Interpret business needs from requests, and rapidly implement effective technical solutions. Design, implement and enhance ETL (extract, transform and load) processes. Write SQL queries to answer questions from stakeholders. Maintain source code repository of scripts (SQL, Python, R) and other data products (dashboards, reports, etc.). Work with technology teams (BA,QA, Dev and Admin) to understand data capture and testing needs. Automate and improve creation/maintenance of reports and dashboards. Skills & Experience BA/BS or Master's degree with emphasis on coursework of a quantitative nature (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Sciences). Advanced SQL and relational databases including queries, database definition and schema design. Python or R experience required. Writing and maintaining ETL on a variety of structured and unstructured sources. Experience sourcing data via REST web services. Excellent written and verbal communication skills. Microsoft SQL Server, SQL Server Integration Services (SSIS), Business Intelligence Development Studio (BIDS), Excel (pivot tables). Insurance experience a plus.

Lancer Insurance 3.5

Long Beach, NY

Long Beach, NY

201 to 500 employees

Company - Private

Insurance Carriers

Insurance

$100 to $500 million (USD)

-1

Lancer Insurance

NY

Data Analyst

$64K-$112K (Glassdoor est.)

About the Role: The Data Analyst plays a critical role turning project requirements into actionable results. The ideal candidate for the position can do a complete life cycle data generation and outline critical information for each stakeholder. This person can analyze business procedures and recommend specific types of data, laying the foundation for predictive models. You'll be a collaborative, cross-functional partner with our Product, Marketing and Engineering teams uncovering insights, formulate and test ideas to accelerate our business. Responsibilities: Create factor analyses on customer lifecycle / funnel and conversion, with a focus on product analytics, ranging from onboarding journeys (path analysis) to activation / retention signals Partner with data engineering to define requirements for data pipelines and warehouse (Snowflake, Athena) data models Partnering with data science peers to identify gaps, improve quality, and share advanced modeling techniques and learnings. Work with Product Management, and DevOps as needed to provide SaaS customer adoption/usage insight to be shared with sales, and marketing organizations Perform extensive data validation/quality assurance analysis within large datasets Diagnose data-related bugs and ensure they are resolved in a timely manner Develop and maintain automated dashboards, metric reports and data visualizations (Looker, Mixpanel, Tableau) and train colleagues to use them Support the business with ad hoc reporting Develop a high level of expertise with Sauce Labs data by digging into the details, sources and history of the data Requirements: 3+ years experience in data analysis in B2B companies specifically in Saas BA or BS required Experience using SQL, Python and R. Candidates should be equally strong exploring data through both SQL and BI tools. Strong understanding of different database environments (Mongo, MySQL) including cloud-based ones (AWS) Familiarity with data warehouse concepts and data models Experience with modern visualization tools (Looker, Tableau) and/or other data analysis tools Strong communication skills (both oral and written); Must be able to present results to senior leadership, internal and external stakeholders with the ability to translate between technical metrics and business KPIs. Excellent organizational, motivational and interpersonal skills, capable of interfacing well at multiple levels within a large organization. Outstanding analytic and modeling skills, proficient at conceptualizing, implementing, and evaluating highly accurate and scalable advanced analytics solutions to business problems. Knowledge of health-related analytics concepts such as risk stratification, episode groupers, and benchmarks. Professional and positive approach in building relationships and quickly gain credibility with senior executives. A result and success-oriented mentality, conveying a sense of urgency and driving issues to closure while adapting and adjusting to multiple demands, shifting priorities, ambiguity, and rapid change

Sauce Labs 4.2

San Francisco, CA

San Francisco, CA

201 to 500 employees

Company - Private

IT Services

Information Technology

$50 to $100 million (USD)

BrowserStack, Selenium Master, Perfecto Mobile

Sauce Labs

CA

Data Engineer

$68K-$129K (Glassdoor est.)

Position Title: Data Engineer Persivia is seeking Data Engineer who will help support our customer base as well as our development team. This position requires extracting data from Meditech, Mckesson, Epic and other hospital systems. The qualified candidate will be a Data specialist who exhibits expertise in extracting data from Meditech, and possess strong knowledge focus on data extracts for a Quality Reporting perspective. Key Activities: · Perform System setup and extraction of medical data from hospital’s databases. · Maintain XSLT, SQL, and Java scripts for mass loading and rendering of XML files. · Troubleshoot problems reported by customers and help solve technical issues . · Perform coding tasks using C#, .Net and SQL, Java. · Answer questions from customers as well as prospective customers about the features and capabilities of our solutions. · Develop customer-facing documentation for our solutions on an as-needed basis. · Communicate customer needs and wishes to our product team. · Work in highly secure environments. Required Skills: · Expertise in extracting data from multiple hospital systems. · Ability to maintain and execute XSLT, SQL and Java scripts for batch loading and rendering of XML files. · Hands-on experience working with HL7 (V3 preferred), XML, and web services. · Knowledge of relation databases (SQL Server, Oracle) a huge plus . · Experience working with hospital EMRs such as Meditech, McKesson, Epic and Cerner or with Ambulatory EMRs such as eClinicalWorks, Aprima, NextGen, PracticeFusion and Elation. · Experience working in Java, C#, .Net and MS-SQL. · The ability to be a good listener, and to really understand a customer problem or question and help them solve it. · Bachelor’s degree in Computer Science, technical field, or equivalent experience. · Minimum 4 years of relevant work experience. · Excellent written and verbal communication skills. · Strong customer service skills. · Strong organizational skills.

Persivia 3.6

Marlborough, MA

Lowell, MA

1 to 50 employees

Company - Private

-1

-1

Less than $1 million (USD)

-1

Persivia

MA

Data Scientist - Algorithms & Inference

$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 The Mission of Data Science at Nuna is to develop analytic methods and actionable insights that drive accountability and smarter, data-driven decision making in our healthcare system. Team members come from fields such as biomedical informatics, health economics, statistics, and operations research and share a passion for research, experimentation, measurement, and learning. We work daily with Nuna's Engineering, Design, and Product teams to unlock the power of healthcare data in pursuit of high-quality & affordable healthcare. YOUR IMPACT We are seeking a talented individual who will be part of a cross-functional team focusing on core R&D efforts for data products at Nuna. Specifically, this individual will participate in the development of methods for measuring health-system and provider performance, forecasting how that performance will change as a function of shifting incentives and surfacing actionable recommendations for improvement. This individual will work closely with Product, Engineering and design teams to help create novel tools and technology that will promote the adoption, operation and success of value based payment models. YOUR OPPORTUNITIES As part of Nuna's Data Science team, you will: Support the creation of technology and data products that facilitate the adoption and operation of value based payment models and proliferation of high quality, cost effective care Work with subject matter experts and stakeholders, both internal and external to Nuna, to formulate methodologies for measuring healthcare performance Research and propose analytic approaches for ambiguously-scoped problems Present solutions to internal and external stakeholders, gather feedback, and iterate on methodologies Work closely with engineering and product to productize key insights and drive behavior change YOU BRING Advanced degrees (PhD or Masters) in quantitative field (Statistics, Economics, Health Policy, Health/Medical Informatics, or similar) or equivalent experience 3+ years of experience with real-world datasets Prior experience writing production code in a distributed computing environment, and familiarity with associated engineering practices. Strong understanding of and experience with applied Statistics and Machine Learning Experience conducting self-directed, quantitative research on ambiguously scoped questions and topics in a business setting Clear communication skills and the ability to break down problems and generate shared understanding Strong attention to detail Ability to work both as part of a team as well as in a self-directed manner BONUSES Familiarity with healthcare performance metrics and supporting methodologies (i.e. risk-adjustment and attribution) Prior work experience with or research on healthcare payers or providers. Of particular relevance: Medicare Advantage, Medicaid Managed Care and the ACA Exchange market segments Familiarity with shared-risk care models Experience working with healthcare data, such as claims data, enrollment data or EHR data 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

Scientist

$52K-$113K (Glassdoor est.)

We are a global team of 6000 visionaries, doers, and makers. Our portfolio of over 25 brands touches lives in more than 50 countries. Together, we reimagine good mornings and endless summers, beauty and bonding, confidence and determination. Playtex Manufacturing, Inc., Scientist, Allendale, NJ – Develop and execute on experimental plans associated with the development of new sun and skin care formulations that are compliant with regulations for intended regions of sale with input from supervisor(s): Design and execution of research investigations consistent with sound, robust scientific investigations that meet international standards and are defensible in front of the scientific community; Demonstrate solid, scientific-based understanding of the principles of concentrated area of science and consumer research; Lead the design and execution of a robust research study that is objective driven and meets the needs of the project team; In-depth functional understanding of technical tools that support testing and data management (automated data collection systems, statistical software, Microsoft Office, Product Lifecycle Management, etc.). Execute on clinical studies associated with SPF, broad spectrum protection, and claims substantiation for new products. Participate in cross functional and project teams as assigned by supervisor. Design, execute and interpret product and sensory investigations in support of business needs and objectives. Lead the development of new work practices for continuous improvement. Applicant must have a Master of Science degree or foreign equivalent in Chemistry, Pharmaceutical Sciences, Personal Care Science or closely related field and 2 years of professional experience as Scientist or Associate Scientist in Chemistry or any science-based field. Additionally, the applicant must have 1 year of professional experience in: 1. Formulating adult/child/baby OTC sunscreen lotions, creams, and sprays using knowledge and applied skills in emulsion technologies, sunscreen actives, and processing equipment; 2.) Conducting in-vitro sunscreen evaluations using FDA and International (ISO) test methods by means of regulated instrumentation to determine Sun Protecting Factor (SPF) and Critical Wavelength to prove safety and efficacy of products; 3.) Creating and maintaining regulated study files for third party testing such as in-vivo clinical studies and consumer tests in accordance with GDP/OTC standards; 4.) Supporting the resolution and re-launch of out-of-specification products; 5.) Product Lifecycle Management (PLM/SAP) system and formula input trouble-shooting; 6.) Developing and executing strategic formulation experiments using experimental design skills, analyze results; 7.) Installing, operating, and maintaining equipment such as homogenizers, mixers, hot plates, and/or balances; 8.) Documenting physical properties, such as pH, viscosity, density, and microscopy, of sunscreen prototypes in which all data is recorded within a Scientific Notebook using Good Documentation Practice (GDP) methods; and 9) Collaborating with cross-functional R&D to establish adequate parameters and guidelines for new product launches. Edgewell is an equal opportunity employer, and we prohibit discrimination based on age, color, disability, marital or parental status, national origin, race, religion, sex, sexual orientation, gender identity, veteran status or any other legally protected status in accordance with applicable federal, state and local laws. Nearest Major Market: New Jersey

Edgewell Personal Care 3.4

Allendale, NJ

Shelton, CT

5001 to 10000 employees

Company - Public

Consumer Products Manufacturing

Manufacturing

$2 to $5 billion (USD)

Unilever, Procter & Gamble, Henkel

Edgewell Personal Care

NJ

Senior Data Scientist

$110K-$150K(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 Senior Data Scientist, you'll join a growing team of data scientists and engineers, reporting into EQRs Operations organization but working across multiple teams throughout the company. You will be responsible for providing advanced analytic insight and thought leadership to support the needs of EQRs senior executives and their teams. You will support the ongoing development and maintenance of a data warehouse of relevant internal and external data from customer and transaction data to macroeconomic factors. Youll regularly perform both quantitative analysis and primary research, while also synthesizing secondary research on topics of interest, including (but not limited to): economic, demographic, property operations, and technology trends. Additionally, you will take part in providing indirect leadership and ongoing coaching and development to more junior members of the Data Analytics team. 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 Undertake data-centric projects and experiments across the company by leveraging one of the most comprehensive databases of apartment operations on the planet, combined with strategically sourced data from third parties. Proactively understand and respond to the specific analytic needs and requests of Equity stakeholders, including but not limited to: investments, finance, operations, property management, IT, legal and HR. Utilize a hypothesis-driven approach, as well as both quantitative and qualitative primary research methods, to engage in analysis and develop soundly reasoned conclusions that identify or explain demographic, social and other trends, underlying needs, and preferences of existing and potential residents, and any other forces impacting the business. Critically evaluate research questions by formulating hypotheses and work plans (data sources, timing, resources, collaborators, output etc.) Prepare narratives, briefs, and more formal reports that concisely communicate relevant findings and conclusions in a timely manner, while providing transparency into the methods used. Perform critical self-reviews of work with exceptional attention to detail (content, logic and presentation/communication quality) before delivering completed research. Establish and maintain regular, responsive, and timely communications with internal business partners to meet the internal long-range research/consulting objectives and respond to all internal data analytics needs and requests. Support data-centric projects and experiments across the company, as assigned. Prepare presentations, narratives, and briefs that communicate relevant ndings and conclusions concisely, with limited jargon, and in a timely manner. Assist with the design testing, and execution of strategic pilots to measure and verify the validity of the analysis and subsequent recommendations. Develop and maintain relationships with appropriate third party market research providers and constantly evaluate quality to recommend changes where appropriate. 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. Recommend relevant changes to data collection process to enhance Equitys data asset. As assigned, participates in planning and design of non-analytics strategic initiatives to ensure useful information capture is included in execution plans. Informally lead/coach more junior members of the Data Analytics team. PREVIOUS EXPERIENCE & REQUIREMENTS Advanced degree required: Masters degree with 2-3 years experience or PhD 1+ years of experience. The degree should be in Computer Science, Applied Mathematics, Statistics, Machine Learning, or a related data centric field or equivalent experience is required. Deep technical and data science expertise, including experience in the following: Analytical methods: Statistical modeling, supervised and unsupervised machine learning, natural language processing, deep learning, optimization techniques, etc. Analytics tools: Experience with SQL, Python and/or R, data processing (Spark, Hadoop/Hive, etc.), machine learning libraries (scikit-learn, caret, etc.), GIS tools, data visualization (Tableau, PowerBI, various web app frameworks) Experience building in-production models, including associated scripting, error handling and documentation. Industry experience in real estate, retail, transportation is a plus, as well as geospatial analytics and/or consulting. Solid understanding of economic, financial, and general business concepts and terminology is required. Strong people skills with both a client and team-orientation. Demonstrated strong communication skills, both written and verbal, as well as listening. Must have experience probing for needs, providing an intellectual counterparty (e.g. devils advocate, challenge status quo, etc.) in a constructive manner, and communicating technical content in a concise and easy to understand way. Must also be articulate and have experience in presenting information and findings. Excellent problem-solving and quantitative skills, including the ability to disaggregate issues, identify root causes, and recommend plausible solutions. Ability to utilize, create, and analyze GIS and other location-based data and analysis, a plus. Tolerance for ambiguity required. 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. Fuze calling... Can't complete call We're sorry about that. Please try again or contact support if you continue to have issues. CancelRetry

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 Scientist

Employer Provided Salary:$150K-$160K

BPA Services, LLC is seeking a Computer/Data Scientist who will support our customer with insights gained from analyzing large volumes of financial, payroll and staffing data. The ideal candidate will be adept at using large data sets to find trends explain outcomes. The candidate should be able to use existing models and create new models to project outcomes and test the effectiveness of different courses of actions. 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 results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The candidate should be open to sharing the analysis, knowledge and results with team members and management. Responsibilities Provides assessments regarding current, state-of-the-art and industrial trends in the computer field related to data science Applies knowledge of computer science concepts and techniques, mathematics, and methods of statistical analysis to develop and apply automated solutions to engineering, scientific or business data acquisition and management problems Assists with defining computer system requirements to meet customer requirements Provides improvements to the performance of existing computer systems and software Development, design, and implementation of data models that meet customer requirements Work with business analysts to share the customer requirements, current timelines, expectations, and available solutions Conduct data mining and analyze data from a variety of databases and financial systems to drive optimization and improvement of financial projection. Assess the effectiveness and accuracy of new data sources and models and data gathering techniques. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize customers financial and staffing plans, other business outcomes. Coordinate with different teams to implement monitor outcomes, generate and present reports to management. Develop processes and tools to monitor and analyze model performance and data accuracy. Requirements 15+ years of relevant experience Bachelor’s Degree in Computer Science or Engineering field Must have working knowledge of computer languages Experience with financial modeling Excellent verbal and written communications skills Excellent organizational skills and attention to detail. Ability to multitask, prioritize, and manage time effectively Excellent customer service skills Preferred Experience Knowledge and experience with DELPHI, FPPS and NDC Knowledge and experience with CMMI documentation and process BPA Services provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

BPA Services 5.0

Washington, DC

Alexandria, VA

Unknown

Company - Private

Enterprise Software & Network Solutions

Information Technology

Unknown / Non-Applicable

-1

BPA Services

DC

Lead Data Scientist

$158K-$211K (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 may have noticed that payment has become a very active/hot area in the last several years. Given the strong demands and innovation, this will be a very exciting area in the next 5 to 10 years. VISA is clearly a very strong leader in the payment industry, and is in a fast pace of technology transformation. For a payment system to work well, advance technologies such as data platform, big data, data mining, machine learning, cloud, etc. are critical. In VISA, we have all of these. The Data Platform Department is in the center for many of these technologies and development. The Data Platform team is a key component of Visa's Technology organization that provides an enriched and valuable ecosystem of data platform and data services that drive innovation for our partners and clients, within Visa and globally. Data is the most valuable asset in Visa. The Data Platform Department is dedicated to develop advanced technology (e.g. Cloud, Machine Learning and Big Data), systems and services to make data secure, high quality, rich, fast, and easy to use, therefore enabling Visa the ability to leverage its data asset in an effective and timely manner to maximize technology/business development and differentiate Visa from others in the payment industry. The department maintains tens of petabytes of data supporting over 100 services for various internal lines of business and external clients. Position Summary: To ensure that Visa’s payment technology is truly available to everyone, everywhere requires the success of our key bank or merchant partners and internal business units. The data platform team supports these partners by using our extraordinarily rich data set that spans more than 3 billion cards globally and captures more than 100 billion transactions in a single year. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. We work in complementary teams comprising members from Data Science and various groups at Visa. To support our rapidly growing group we are looking for Data Scientists who are equally passionate about the opportunity to use Visa’s rich data to tackle meaningful business problems. This position reports to the Sr. Director of Architecture for Data as a Service team in Data Platform and will be based in Bellevue, WA. Responsibilities Be an out-of-the-box thinker who is passionate about brainstorming innovative ways to use our unique data to answer business problems Communicate with internal and external clients to understand the challenges they face and convince them with data Extract and understand data to form an opinion on how to best help our clients and derive relevant insights Develop visualizations to make your complex analyses accessible to a broad audience Partner with a variety of Visa teams to provide comprehensive solutions Find opportunities to craft products out of analyses that are suitable for multiple clients Contribute to the Data Platform strategies and roadmap development to meet business objectives with existing or emerging technologies. Ability to translate business concepts to technical terms. Understands and communicates company goals and objectives. Apply creative thinking/approach to determine technical solutions that further business goals and align with corporate technology strategies, keeping in mind performance, reliability, scalability, usability, security, flexibility, and cost. Engage with Data Platform customers/partners to understand their needs and provide suggestions/guidance on what data platform techniques are appropriate to solve their problems with pros/cons articulated clearly. Drive internal proof of concept initiatives. When needed, quickly design and implement a prototype of a system or component with a proper architecture, and then hand over to (may lead) a small group of devs to finish. Provide mentorship and help team growth especially on technical side. Can you take on the responsibilities described above? Then please apply! Independent of years of experience or educational background, successful candidates frequently have a mix of the following qualifications: Experienced technology leader with a minimum of 10+ years of software development experience including 2+ years of data science experience. Bachelor’s degree in an analytical field such as statistics, operations research, economics, computer science or many others (graduate degree is a plus) Experience with extracting and aggregating data from large data sets using SQL, Hive or other tools Competence in Excel, PowerPoint and Tableau Experience in understanding and analyzing data using statistical software (e.g., Python, SAS, R, Stata or others) Previous exposure to financial services, credit cards or merchant analytics is a plus, but not required Technical background in data with deep understanding of issues in multiple areas such as data acquisition and processing, data management, distributed processing, and high availability is required. Experience in statistics, data mining, machine learning and operational excellence of production systems is a plus. Strong at technical goal setting for a project with actionable success metrics. Good knowledge and experience on measuring a service from user experience angle. Strong on driving for results and self-motivated, strong learning mindset, with good understanding of related advanced/new technology. Keep up with the technology development in the related areas in the industry, which could be leveraged to enhance current architectures and build durable new ones. Outstanding verbal, written, presentation, facilitation, and interaction skills, including ability to effectively communicate architectural issues and concepts to multiple organization levels and executive management. 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

Bellevue, WA

Foster City, CA

10000+ employees

Company - Public

IT Services

Information Technology

$10+ billion (USD)

American Express, Mastercard, Discover

Visa Inc.

WA

Associate Data Analyst

$20K-$39K (Glassdoor est.)

Intrado is looking for an Associate Data Analyst to add to its team in Longmont, CO. The core focus of this position will be responsible for performing basic, routine data entry tasks including address, telephone, and error correction updates associated with E9-1-1 database maintenance; answer telephone calls daily from customers and respond to messages in a timely manner; research and resolve all types of errors resulting from Service Order Processing (SOI) and No Record Found (NRF) incidents within contractually specified time frames; update telephone numbers (TNs) and Master Street Addressing Guide (MSAG) records, as required. So, if you’ve been waiting for an opportunity with a multi-billion-dollar company that will allow you to fuse insightful thinking with disciplined execution in order to achieve breakthrough performance, then what are you waiting for? Get your application in today and let’s get started on something BIG. Education •High school diploma or GED required. Experience •Minimum one-year data collection or data entry experience required. Other •Basic knowledge of MS Word, PowerPoint, Excel, and Outlook required. •Must successfully meet minimum score on data entry test. Connecting people with each other and the right information is mission-critical. Intrado, formerly West, develops innovative cloud-based technology to make it easier, more effective and more efficient to make the right connections. Our solutions put people in sync with each other and the right information, so they gain the insight needed to reach better decisions on the issues that matter most. And we do it with a laser focus on reliability. leading provider of technology-driven, communication services, serving Fortune 1000 companies and other clients in a variety of industries, including telecommunications, retail, financial services, public safety, technology and healthcare. For more than 20 years, we have been leading the way in hosted and cloud-based solutions. We focus on four complementary components of the UC spectrum: Conferencing & Collaboration, Managed Voice, Network Services and Digital Media Services Intrado Digital Communications Services, formerly a part of Nasdaq corporate solutions, provides additional Public relations solutions so clients can access the latest innovations in communications technology, including reach and engage media, investors, employees and key stakeholders, and gain actionable insight into the performance of their campaigns and communications. Applications will be accepted through 4/6/2020. Equal Employment Opportunity/Veterans/Disabled PLEASE NOTE: •Intrado has strict background check requirements both pre-employment and throughout employment. •Depending upon the position and/or access required, applicants and personnel may be required to successfully complete additional background checks including, but not limited to customer background checks, Criminal Justice Information Services certification, and criminal history check, fingerprinting and training. •The company also runs a motor vehicle record check as part of the background check process. •The Company conducts pre-employment drug screening and periodic screening during employment. •Marijuana remains an illegal drug under Federal law. We have Federal contracts that require us to be compliant with the Federal Drug Free Workplace Act. •Intrado is a tobacco-free workplace.

Intrado 3.1

Longmont, CO

Omaha, NE

5001 to 10000 employees

Company - Private

Enterprise Software & Network Solutions

Information Technology

$2 to $5 billion (USD)

-1

Intrado

CO

Spectral Scientist/Engineer

$56K-$117K (Glassdoor est.)

Thank you for your interest in joining the Centauri team. Together, we can leverage the next generation of advanced technologies to deliver industry-leading capabilities across land, air, sea, space, and cyberspace. Our goal is to deliver innovative solutions using an agile, mission-first approach to address the most difficult technical challenges facing our customers. The only way that we can tackle these challenges is by recruiting the brightest minds in the industry to join our team. Description Spectral Scientist/Engineer Description: The Spectral Scientist will provide technical analysis, product enhancement, and subject matter expertise to support the National Air and Space Intelligence Center (NASIC) at Wright-Patterson AFB. The candidate will conduct in-depth scientific analysis, research algorithmic techniques, develop prototype software, determine software settings, evaluate spectral data from new sensors, and improve technical workflows to increase NASIC multispectral & hyperspectral analytic capabilities and provide valuable intelligence. Analysis and research findings will typically be delivered in an intelligence report or briefing with supporting graphics and documentation. Job Duties: •Perform in-depth spectral studies and analyses including formulating parameters and factors to be considered, and validates the results •Analyze data in the application of spectral technology to solve intelligence problem sets •Coordinate with analysts from other intelligence disciplines •Prepare and present briefings and update internal report tracking metrics for analysis •Work independently and in a team environment •May require technical leadership and directing the work of other staff members Required Qualifications: •Bachelor/Master degree in engineering, remote sensing, science or mathematics and, or geology with applicable experience, PhD desired but not required. •Demonstrated knowledge of ISR data processing, exploitation, and dissemination (PED) •Ability to work independently and in a team environment •Strong oral and written communication skills •Strong technical writing and briefing skills Security Requirements: Active TS/SCI security clearance required. Centauri is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any other factor protected by law. Are you a returning applicant? Previous Applicants: Email: Password: If you do not remember your password click here. Back to Search Results New Search

Centauri 4.7

Beavercreek, OH

Chantilly, VA

501 to 1000 employees

Company - Private

Aerospace & Defense

Aerospace & Defense

$100 to $500 million (USD)

TASC, Vencore, Booz Allen Hamilton

Centauri

OH

College Hire - Data Scientist - Open to December 2019 Graduates

$63K-$99K (Glassdoor est.)

Description Caterpillar's legacy of industry leadership dates back to 1925. We have a global footprint with product in more than 180 countries. Caterpillar is a Fortune 50 company that makes up the most diverse product line in the industry with more than 300 products. We work in industries that provide long-term economic value: commodities (mining, oil and gas); infrastructure (heavy construction, rail, paving, quarry and aggregate); and building construction (residential, commercial, standby power, industrial engines and forestry). At Caterpillar you will have global exposure and opportunities, deep employee and leadership development resources and a compelling career path to make it possible to have the flexibility and excitement of a diverse career without needing to "start over" at a new company. Even while building deep expertise in one function, our employees can experience different career opportunities by moving between our many business units, locations and product lines throughout their career. Responsibilities; Conduct data analytics project using R and data visualization tools (Tableau or Pentaho Business Intelligence Suite) Assist staff data analyst with constructing Extract-Transform-Load transformations to connect data from ship installations to the BI reporting data mart Assist in the development and management of relational databases Assist staff reliability engineers with research into systems engineering analysis of shipboard systems to develop value-based case studies for customers January 2020 Start Dates If you are interested in applying for this position, please attach a copy of your resume and an unofficial copy of your transcripts, to your application. Qualifications Basic Qualifications; Must be enrolled full time at a 4-year accredited university/college in one of the following degree programs: Computer Science, mathematics, statistics, systems engineering, or other equivalent technical field Applicant must be able to work up to 40 hours per week Applicant must be able to work on site at the Peoria, Illinois location 3.0 GPA or higher Desired Qualifications: Able to work independently with some supervision Expertise in Business Intelligence reporting, Tableau and/or Pentaho Business Intelligence Suite preferred Experience with JDBC databases Experience with Java Experience R Experience with ETL processes Strong communication and presentation skills Caterpillar is not currently hiring individuals for this position who now or in the future require sponsorship for employment visa status; however, as a global company, Caterpillar offers many job opportunities outside of the U.S. which can be found through our employment website at www.caterpillar.com/careers.]]>

Caterpillar 3.7

Peoria, IL

Deerfield, IL

10000+ employees

Company - Public

Industrial Manufacturing

Manufacturing

$10+ billion (USD)

John Deere, Komatsu, CNH Industrial

Caterpillar

IL

Data Scientist

$68K-$114K (Glassdoor est.)

Overview: Blazing a new trail, we are further developing our Insight Marketing team to include the data science discipline. We are looking for candidates who love learning, questioning the status quo, and finding data-backed ways to "do-it better''. We need a self-starter to tackle algorithmic modeling, what-if analysis, attribution, and more. Your work will be on the front-edge of one of the most innovative Automotive advertisers (rated "Genius" by L2 think tank). As we continue to develop our big data team you will wear many hats and will be responsible for a fair amount of trail blazing. You will function as a combination of a data scientist, data engineer, and project manager. Together, you and your trusty Junior Data Analyst, will accomplish many things. Purpose: The Data Scientist position requires a multidisciplinary approach to technology, business, and marketing applied together to unlock insights hidden within our marketing data. You'll use your talent for breaking down business challenges into data-driven problems that guide performance gains for one of the world's largest Automotive manufacturers. You will create predictive and prescriptive models by detecting and exploiting patterns in massive data sets. You will also create data visualizations and give presentations that will help key stakeholders in the decision making process. Desired Qualifications: We need people that feel comfortable across the entire spectrum of data science, from collaborating across teams and brainstorming on the whiteboard, all the way to implementing and testing their models. If you are detail oriented and passionate about leveraging data, statistics, and improving client outcomes, this position is for you. Responsibilities: Perform exploratory data analysis generate and test working hypotheses in a cross-silo collaborative environment Prepare and analyze historical data and identify patterns Demonstrate expertise in deriving insights from structured, semi-structured, and unstructured datasets Must have developed and deployed data-backed solutions in the domain of marketing Designing and implementing your own algorithms and data structures Other Qualifications: Experience manipulating big and noisy data sets (e.q. SQL, server log file) Experience working in big data framework (Hadoop, NoSQL, BigQuery, etc) Experience and knowledge of data storage, data management, and big data processing tools preferred Strong background in statistics Experience with scripting and rapid prototyping using python Data mining experience (using python/pandas) Experience with Machine learning Knowledge of data visualization tools (tableau, datastudio, matplotlib) Microsoft Office - Excel, PowerPoint, Word expert proficiency The responsibilities are many, various, and not limited to those written in this document. Required Skills Required Experience Job Location Fort Lauderdale, US-FL

Zimmerman Advertising 3.8

Fort Lauderdale, FL

Fort Lauderdale, FL

501 to 1000 employees

Subsidiary or Business Segment

Advertising & Marketing

Business Services

Unknown / Non-Applicable

-1

Zimmerman Advertising

FL

Data Scientist, Office of Data Science

$86K-$143K (Glassdoor est.)

Help shape the future of Data Science across Liberty! As a technical member of the Office of Data Science (ODS), Enablement & Collaboration unit, you will work with a team of data science (DS) and machine learning (ML) experts to solve Liberty's most challenging data science problems. The ODS was created to provide additional centralized support and expertise to DS teams across the global organization. Our projects focus on key areas of interest to multiple teams, bleeding edge research and experimentation, common tool development, and establishing best practices to ensure the scientific community at Liberty is well-positioned to rapidly meet the challenges of modern industry. If you are interested in making an impact on an entire culture at a Fortune 100 company, the ODS is the place for you! As a centralized group, our project scope is vast. Possible projects include: Design new language models (NLP/NLU) to understand and build predictions or summaries from customer calls, claim notes, web chats, medical records, and beyond. Detect property hazards from aerial imagery, customer photos, geospatial data, etc. using computer vision (CV). Explore the advantages and limitations of privacy-preserving ML, to accelerate experimentation and better protect our customers' data. Push the boundaries in fundamental experimentation to boost and augment small-sample or rare-event data, transfer learning, and similar techniques. Engage in theoretical research in collaboration with MIT, via Liberty's investment in the MIT Quest for Intelligence, to shape the future of AI Responsibilities: Work on cross-functional R&D teams, including ODS and business-unit data scientists/analysts, doing hands on ML research in areas such as computer vision, natural language processing, interpretable ML, and privacy preserving ML. Accelerate the deployment of reproducible ML models by helping the business set and apply current best practices, including the use of open source software, container-based or serverless cloud platforms, and self-service operating models. Develop common DS/ML tools and infrastructure across the business. Set the standards for statistical testing and experimental design, as well as other quality standards such as testing coverage, code review, etc. for data science Work with product owners and business units across Liberty to identify new opportunities where the ODS can accelerate research and development of DS and ML tools and techniques The actual internal level/grade for this role will depend on the candidate's overall experience and skill level. Qualifications: Bachelor's degree in Statistics, Economics, Computer Science, or any quantitative discipline with relevant work experience, required; advanced degree a definite plus. Extensive experience analyzing data and a broad understanding of core statistical and ML techniques. Demonstrated experience in deep learning, computer vision, natural language processing, and/or interpretable machine learning. Demonstrated proficiency in R or Python required. Possess strong analytical, strategic, project management, decision-making and problem-solving skills. Demonstrated ability to perform high quality work both independently and collaboratively. Benefits: We value your hard work, integrity and commitment to positive change. In return for your service, it's our privilege to offer you benefits and rewards that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits Overview: At Liberty Mutual, we give motivated, accomplished professionals the opportunity to help us redefine what insurance means; to work for a global leader with a deep sense of humanity and a focus on improving and protecting everyday lives. We create an inspired, collaborative environment, where people can take ownership of their work; push breakthrough ideas; and feel confident that their contributions will be valued and their growth championed. We're dedicated to doing the right thing for our employees, because we know that their fulfillment and success leads us to great places. Life. Happiness. Innovation. Impact. Advancement. Whatever their pursuit, talented people find their path at Liberty Mutual.

Liberty Mutual Insurance 3.3

Boston, MA

Boston, MA

10000+ employees

Company - Private

Insurance Carriers

Insurance

$10+ billion (USD)

Travelers, Allstate, State Farm

Liberty Mutual Insurance

MA

Data Science Analyst

$41K-$95K (Glassdoor est.)

Torch Technologies is seeking a Junior- to MId-Level Data Science Analyst to support modernizing our BMDS system analysis capability. The ideal candidate is adept at manipulating large data sets to identify trends and generate metric to better understand BMDS system performance. 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 our processes and development of analytical results that we provide to the BMDS community. Good communication and presentation skills are required. Experience with performing BMDS analysis of is desired. Must possess the ability to clearly express ideas/concepts, perform as part of a team, and be capable of operating in a multi-tasking environment. Other activities include establishing requirements for evaluation tools and processes, providing analytical support to the test planning process, and development and coordination of analytical results within the BMDS community Job Requirements: B.S. Degree in computer science or mathematics 3-10 years experience Experience using computer languages (R, Python, SLQ, etc.) and visualization tools (Tableau) to manipulate data and draw insights from large data sets. Experience evaluating and analyzing data to evaluate systems and performance Excellent written and verbal skills Proficiency with MSOffice (Word, Excel and PowerPoint). DOD Secret Security Clearance Desired Qualifications Experience in analysis of MDA Ballistic Missile Defense System (BMDS) elements

Torch Technologies, Inc. 4.6

Huntsville, AL

Huntsville, AL

1001 to 5000 employees

Company - Private

Aerospace & Defense

Aerospace & Defense

$100 to $500 million (USD)

-1

Torch Technologies, Inc.

AL

Data Scientist

$86K-$144K (Glassdoor est.)

About Swiss Re The Swiss Re Group is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. It anticipates and manages risk – from natural catastrophes to climate change, from ageing populations to cybercrime. The aim of the Swiss Re Group is to enable society to thrive and progress, creating new opportunities and solutions for its clients. Headquartered in Zurich, Switzerland, where it was founded in 1863, the Swiss Re Group operates through a network of around 80 offices globally. It is organised into three Business Units, each with a distinct strategy and set of objectives contributing to the Group’s overall mission. About Swiss Re The Swiss Re Group is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. It anticipates and manages risk – from natural catastrophes to climate change, from ageing populations to cybercrime. The aim of the Swiss Re Group is to enable society to thrive and progress, creating new opportunities and solutions for its clients. Headquartered in Zurich, Switzerland, where it was founded in 1863, the Swiss Re Group operates through a network of around 80 offices globally. It is organized into three Business Units, each with a distinct strategy and set of objectives contributing to the Group’s overall mission. About the role We are seeking a highly motivated, experienced data scientist to join a global team of analytics professionals who support the digital transformation of Swiss Re and the insurance industry. You will be primarily based in Armonk with the possibility to occasionally work from other Swiss Re offices (e.g. New York City) and collaborate with stakeholders around the globe. Your main responsibilities are: Work closely with internal stakeholders and clients to ideate, develop and deploy innovative analytics solutions Develop a deep understanding of the business problem to derive suitable analytics approaches and requirements Build prototypes to validate desirability, viability and feasibility of the proposed approach Validate, interpret and present findings and solutions to both expert and non-expert audiences Support full deployment of analytics solutions into operational environments Continuously monitor relevant industry and technology trends to ensure further development of Swiss Re's analytics capabilities Promote and share digital & smart analytics knowledge, skills and services internally and externally to drive the digital transformation of Swiss Re and the insurance industry About the team The Digital & Smart Analytics (DSA) team supports Swiss Re's business functions and clients in developing state of the art technology solutions leveraging our advanced analytics and data engineering capabilities. DSA works with all business units to implement Swiss Re's tech strategy by generating unique insights, improving operational efficiency and developing new technology driven value propositions. Our integrated global team of analytics consultants, analytics specialists and data engineers enables us to facilitate end-to-end solutions delivery from ideation and prototyping to deployment and run. As Swiss Re's center of competence for smart analytics, DSA further enables the proliferation of advanced data handling capabilities throughout the company. About You Technical Requirements: Advanced degree (master's degree or PhD) with quantitative background (data science, applied mathematics or statistics, computer science, engineering, econometrics or another related field) 2-4 years of experience in analytics (machine learning, statistics, natural language processing, computer vision, information retrieval) in research and/or corporate environment. Experience in at least one scripting or programming language (e.g. Python, R, Matlab, Perl, Java), proficiency in relational databases and SQL (experience with large data sets and distributed computing is a plus). High level of analytical problem-solving skills and ability to assimilate complex information as well as experience in building and deploying innovative solutions Excellent English language skills, other languages (e.g. German, Spanish, Chinese) are a plus Flexibility to travel Soft Skills: Team player with strong interpersonal skills and experience of working in cross-functional teams Ability to communicate complex problems with clarity and effectiveness to expert and non-expert audience Ability to initiate and drive projects to completion with minimal guidance Track-record of creative problem solving as well as openness and curiosity to learn Swiss Re

Swiss Re 3.7

Armonk, NY

Zurich, Switzerland

10000+ employees

Company - Public

Insurance Agencies & Brokerages

Insurance

$10+ billion (USD)

Munich Re, Hannover RE, SCOR

Swiss Re

NY

Data Scientist

$80K-$139K (Glassdoor est.)

At Northrop Grumman we develop cutting-edge technology that preserves freedom and advances human discovery. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We continue to innovate with developments from launching the first commercial flight to space, to discovering the early beginnings of the universe. Our employees are not only part of history, they're making history. The Engineering & Sciences (E&S) organization pushes the boundaries of innovation, redefines engineering capabilities, and drives advances in various sciences. Our team is chartered with providing the skills, innovative technologies to develop, design, produce and sustain optimized product lines across the sector while providing a decisive advantage to the warfighter. Come be a part of our mission! The Data/Systems Engineer plays a dual role of analyzing and modeling data, as well as managing and developing systems. The candidate applying for this position should be able to work across disciplines and organizations; identifying requirements, implementing good data governance principles, and producing logical data models. The qualified applicant will be expected to work directly with internal customers to develop strategies to meet their specific needs, while at the same time developing a common core approach to extend solutions to other disciplines and organizations. Responsibilities: Support the Infrastructure team's mission of continuous improvement through data driven processes and tools. Work with customers to define requirements for systems and metrics Perform Data Analysis of data vaults to find commonality and develop logical models Convert requirements into actions and models Identify critical problems and the steps required to resolve them Provide cost and data analysis and guidance to high level requirements for project teams Qualifications: Basic Qualifications: Bachelor's in Statistics, Engineering or related field and a minimum of 2 years of related experience Experience in Data management, Data Engineering, or Data Science Experience with R or similar statistical languages 1-2 years of experience using SQL to query databases (Oracle, SQL Server) Preferred Qualifications: 1-2 years of experience with web development: HTML, CSS and JavaScript Background in development and production of electronic and RF components, or a degree in a related field Experience with Business Objects, Tableau, or other charting tools Experience with shop floor systems Experience with the Software Development lifecycle, and both Agile and Waterfall projects Experience with electrical and mechanical data management systems Data analytics and visualization, statistics Database query experience Experience with Excel Macros What We Can Offer You: Northrop Grumman provides a comprehensive benefits package and a work environment that encourages your growth and supports the mutual success of our people and our company. Northrop Grumman benefits give you the flexibility and control to choose the benefits that make the most sense for you and your family. Your benefits will include the following: Health Plan Savings Plan Paid Time Off Education Assistance Training and Development Flexible Work Arrangements https://benefits.northropgrumman.com/us/en2/BenefitsOverview/Pages/default.aspx Additional Northrop Grumman Information: Northrop Grumman has approximately 85,000 employees in all 50 states and in more than 25 countries, we strive to attract and retain the best employees by providing an inclusive work environment wherein employees are receptive to diverse ideas, perspectives and talents to help solve our toughest customer challenges: to develop and maintain some of the most technically sophisticated products, programs and services in the world. Northrop Grumman is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO/AA and Pay Transparency statement, please visit www.northropgrumman.com/EEO. U.S. Citizenship is required for most positions.

Northrop Grumman 3.7

San Diego, CA

Falls Church, VA

10000+ employees

Company - Public

Aerospace & Defense

Aerospace & Defense

$10+ billion (USD)

-1

Northrop Grumman

CA

Data Scientist

$56K-$95K (Glassdoor est.)

Sartorius Stedim Data Analytics, a market leader in advanced analytics and provider of Umetrics Suite of Data Analytics Solutions, is on a strong growth path driving new innovative solutions in the field. It currently has an outstanding opportunity for a Senior Data Scientist to drive customer applications, support the Sartorius sales teams and feedback customer needs into the development of new solutions. The incumbent for this key role will have a strong customer focus to help secure innovation and growth from both new and existing customers. What you can look forward to Assisting customers in solving business related problems using advanced data analysis and data driven technologies Supporting implementation of advanced analytics in industry Analyzing large amounts of data and building data driven models Initiating, leading and driving customer projects Training customers on the use of our software Supporting Sartorius sales (pre/post) Supporting marketing & development Performing regular follow up with customers to track satisfaction, secure project momentum and discover additional opportunities Creating technical documents Attending and presenting at conferences, seminars and forums Developing & cultivating strong relationships with external and internal stakeholders Being part of a team of data scientists Skills and experience Minimum a bachelor’s degree in a relevant field (engineering, life sciences, informatics, etc.), master’s degree preferred Minimum two years’ work experience within Biopharma or Pharma Minimum two years’ working knowledge of applied statistics such as MVDA, DOE, MSPC, PAT, QbD, Model Predictive Control (MPC), MMPC, AI/Machine learning Bioprocess knowledge preferred Familiarity with Umetrics Suite of Data Analytics Solutions preferred (MODDE, SIMCA, SIMCA-online, Control Advisor, Active Dashboard) Working knowledge of prescriptive analytics a plus Working knowledge of Python scripting preferred Working knowledge of MATLAB, data historians & control strategy a plus Teaching, consulting and project management experience a plus Excellent communications skills, strong presentation skills a plus Comfortable working independently Comfortable working from home office, willingness to travel (~25%) Strong identification with Sartorius core values: sustainability, openness, enjoyment Driving our future growth requires talented people. Sartorius is a dynamic organization suited to people who want to showcase skills, be recognized for expertise and thrive in a vibrant and innovative environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex or national origin. We are also an equal opportunity employer of individuals with disabilities and protected veterans. Please view equal employment opportunity posters provided by OFCCP here https://e-verify.uscis.gov/esp/media/resourcesContents/EverifyPosterEnglish.pdf https://e-verify.uscis.gov/esp/media/resourcesContents/EverifyPosterSpanish.pdf https://e-verify.uscis.gov/esp/media/resourcesContents/WebBPPOSTERRtoWEnglishversion.pdf https://e-verify.uscis.gov/esp/media/resourcesContents/WebBPPOSTERRtoWSpanishversion.pdf Interested? Driving our future growth requires talented people. Sartorius is a dynamic organisation suited to people who want to showcase skills, be recognised for expertise and thrive in a vibrant and innovative environment. To find out more about Sartorius as an employer visit us on Sartorius Careers Become part of our global team.

Sartorius 3.5

Albuquerque, NM

Gottingen, Germany

5001 to 10000 employees

Company - Public

Biotech & Pharmaceuticals

Biotech & Pharmaceuticals

$1 to $2 billion (USD)

-1

Sartorius

NM

Data Scientist

$120K-$189K (Glassdoor est.)

About Netskope Today, there's more data and users outside the enterprise than inside, causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed, one that is built in the cloud and follows and protects data wherever it goes, so we started Netskope to redefine Cloud, Network and Data Security. Since 2012, we have built the market-leading cloud security company and an award-winning culture powered by hundreds of employees spread across offices in Santa Clara, San Francisco, Seattle, Bangalore, London, Melbourne, and Tokyo. Our core values are openness, honesty, and transparency, and we purposely developed our open desk layouts and large meeting spaces to support and promote partnerships, collaboration, and teamwork. From catered lunches and office celebrations to employee recognition events and social professional groups such as the Awesome Women of Netskope (AWON), we strive to keep work fun, supportive and interactive. Visit us at netskope.com/company/careers and follow us on Twitter @Netskope and Facebook. Data Scientist Within Netskope Engineering, the Security Services organization is responsible for building core security products and features, such as Data Loss Prevention, Malware and Threat Prevention, Cloud Confidence Index, Breach and Anomaly Detection. We apply Artificial Intelligence and Machine Learning technologies across Netskope cloud security platform. We are looking for talented data scientists with security domain knowledge. A successful candidate has deep technical expertise in applying AI/ML technologies in security applications and/or adjacent domains, ideally has been through the entire lifecycle of an award winning security product, and must be passionate about cloud security. You will have the opportunity to work with a team of talented engineers, researchers and data scientists to solve the most challenging cloud security problems. Responsibilities: Identify strong AI/ML use cases in cloud security, data security and adjacent domains, leveraging Netskope's rich set of data sources; Define scalable data acquisition and labeling strategy for specific use cases; Work with data engineers to retrieve, clean and normalize data. Ensure scalable and continuous high-quality data stream; Work closely with threat research and development team in feature engineering. Make sure high-quality feature sets are chosen in a systematic way; Select ML models for defined use cases. Implement KPIs to ensure optimal algorithms and results; Conduct strict internal testing to ensure high efficacy, low false positive and false negative rate; Interpret results and communicate findings; Document use case, data acquisition, feature engineering, training, validation, deployment, future improvement opportunity and other important aspects; Work closely with development and QE team in productization; Be an evangelist of AI/ML within Netskope. Promote AI/ML wherever applicable, beyond security use cases; Collaborate with data analytics team to define new platform requirements and continuously improve our horizontally scalable data lake. Qualifications/Requirements: First of all, must have true startup spirit. Be willing to wear multiple hats and deliver end-to-end; Ability of thinking out-of-box and evaluating results based on customer value; 5+ years of industry experience in applying AI/ML, preferably on well-known security products or services, such as malware detection, anomaly detection, security analytics and data security; Experience of applying AI/ML in more than one domains highly desirable; Hands-on experience with relevant technology stacks such as CUDA, Python, R, Spark, Flink, Tensorflow; Hands-on experience using modern big data pipeline; Natural language process (NLP) and data mining experience highly desirable; Security research experience and strong security domain knowledge highly desirable; Energetic self-starter, with the desire to work in a dynamic fast-paced environment; Excellent verbal and written communication skills; Ability to influence without authority Education: PhD in Computer Science, Statistics, Electrical Engineering or equivalent technical degree. #LI-NW1

Netskope 4.1

San Francisco, CA

Santa Clara, CA

501 to 1000 employees

Company - Private

Enterprise Software & Network Solutions

Information Technology

Unknown / Non-Applicable

Skyhigh Networks, Zscaler, NortonLifeLock

Netskope

CA

Data Scientist

$111K-$176K (Glassdoor est.)

About Us Interested in working for a human-centered technology company that prides itself on using modern tools and technologies? Want to be surrounded by intensely curious and innovative thinkers? Seeking to solve complex technical challenges by building products that work for people, meet and exceed the needs of businesses, and work elegantly and efficiently? Modeling ourselves after the 1904 World's Fair, which brought innovation to the region, 1904labs is seeking top technical talent in St. Louis to bring innovation and creativity to our clients. Our clients consist of Fortune 500 and Global 2000 companies headquartered here in St. Louis. We partner with them on complex projects that range from reimagining and refactoring their existing applications, to helping to envision and build new applications or data streams to operationalize their existing data. Working in a team-based labs model, using our own flavor of #HCDAgile, we strive to work at the cutting edge of technology's capabilities while solving problems for our clients and their users. The Role As a Data Scientist with 1904labs, you will be working with other data scientists, data engineers, and developers to provide analytical services to clients. You will leverage the clients' data assets to answer business questions using best practices and innovative approaches. This will mean employing various data science tools (Python, apache spark, TensorFlow) and techniques (dimensionality reduction, unsupervised learning, supervised learning) to create and test machine learning algorithms. Once tested and verified you will work with development teams to implement the algorithm as a scalable, hosted service. We're looking for an experienced and creative data scientist who can conceptualize a project from start to finish, identifying the appropriate data and methodologies to use. Our Data Scientists work with open-source machine learning packages and libraries, so this position involves building custom ML/AI utilities from open-source resources in languages such as Python (preferred) and R. In this role, you will own and share technical solutions with both technical and non-technical stakeholders across multiple teams both internally and with external clients. Responsibilities Perform data analysis to understand the right combinations of data to meet outlined objectives Translate client queries into actionable data pulls and help translate outputs into client strategies Build and evaluate predictive modeling & machine learning utilities to produce meaningful outcomes that enable data-led decisions Translate analysis results into actionable insights Present insights to both technical and non-technical audiences Partner with internal data scientists, developers, and tech teams to develop new methodologies and utilities Work with development teams to implement data science algorithms as scalable, hosted services Your Skills Requirements Background in math including linear algebra, statistics, probability, and numerical analysis. Machine Learning Analysis: Must be able to execute, evaluate, and apply various models such as logistic regression, random forests/decision tree, nearest neighbor, neural net, support vector machine, an ensemble of multiple models, etc Programming: Proficient coding in a language suited for machine learning systems such as Python or R (not reliant on GUI-based systems to execute analysis) for the purpose of cleaning, manipulating, visualizing, and analyzing data Desired Skills Experience with software engineering and developing deployable API services Must be adaptable and have the drive to learn new technologies and frameworks to support developing client solutions Using browser based interactive computational environments (like Jupyter Notebook) to perform analysis activities and test / evaluate data models and algorithms. Tools: Spark, Pandas, SciKit-Learn, TensorFlow, Keras, SQL Communication: Must be able to explain analysis process and translate results into actionable insights for both technical and non-technical audiences Teamwork: Must be accountable for individual responsibilities while working collaboratively with development and engineering teams to achieve project deliverables Comfort in an agile development environment (eg. writing stories, participating in workshops, sprint planning and retros) Perks Benefits Program (medical, dental, life insurance, 401(k), professional and personal development, PTO) Innovation Time - we allow 10% of your time to be devoted to innovation hours. This time can be used to foster individual ideas, personal projects, start up ideas, improve an open source tool or for career advancement and self-education. All during traditional working hours. Dress Code - we don't have one These roles are located in St. Louis, MO. While we would prefer local candidates your location is not the most important factor; please help us understand why you would like to call St. Louis home if you would be relocating. ]]>

1904labs 4.7

Saint Louis, MO

Saint Louis, MO

51 to 200 employees

Company - Private

IT Services

Information Technology

Unknown / Non-Applicable

Slalom, Daugherty Business Solutions

1904labs

MO

Data Scientist

$54K-$93K (Glassdoor est.)

Job Description **Please only local candidates apply - thank you** ClearOne Advantage is a fast-growing company that is aggressively hiring due to increased business. We are always improving our marketing, culture and technology to provide our employees with the best work atmosphere and our customers with excellent customer service. COA’s proprietary software is tailored to our industry and allows the client to receive the best service possible. We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions. If you are looking to work in a team environment, a place where you are more a name than a number, where you interact with leadership daily, then please send your resume for review! Perks: Great location, right on the water in the Canton Crossing Tower Casual work environment and WFH flexibility Room for advancement What you'll be doing: Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

ClearOne Advantage 4.1

Baltimore, MD

Baltimore, MD

501 to 1000 employees

Company - Private

Banks & Credit Unions

Finance

Unknown / Non-Applicable

-1

ClearOne Advantage

MD

Data Scientist

$71K-$119K (Glassdoor est.)

CyrusOne is seeking a talented Data Scientist who holds a range of data-focused skills both in technical and analytical domains. The ideal candidate is adept at processing, cleansing, and verifying the integrity of data used for visualization and analysis. This role is dynamic, granting the candidate the opportunity to participate in a wide variety of projects and collaborate with many cross-functional teams throughout the business. Duties and Responsibilities: Participate in an agile scrum cadence Process, cleanse, and verify the integrity of data used for analysis Perform functional business requirements analysis and data analysis Develop data models and algorithms to apply to data sets Augment data collection procedures to include necessary information for building accurate analytics Collaborate with stakeholders throughout the organization to identify opportunities for leveraging data to drive business solutions Evaluate the effectiveness and accuracy of data sources and data gathering techniques Gather critical information from meetings with various stakeholders and produce useful reports Coordinate with cross-functional teams to implement models and monitor outcomes Develop automated discrepancy detection systems and distribute reconciliation reports to stakeholders Requirements: Must be legally authorized to work in the United States for any employer without sponsorship Professional experience using statistical software languages like R, Python, and SQL to query, manipulate, and draw insights from data sets Strong problem-solving skills with an emphasis on product development Extensive experience with Microsoft SQL, MySQL and MongoDB Understanding of version control (git) and project management with Azure DevOps Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) Experience visualizing data for stakeholders using visualization tools such as Power BI Experience working with and creating data architectures Understanding and adherence to agile principles and practices Ability to work on problems of any scope where the analysis of situations or data requires a review of a variety of factors Self-maintainability and reliability with minimal supervision Excellent interpersonal communication, decision making, presentation, and organizational skills Ability to build productive internal/external working relationships Harmonious with CyrusOne culture, core values, and business goals Minimum Qualifications: 2+ years of related experience in a data analyst role Strong can-do attitude in a time sensitive environment Other important information about this position: This position requires typical weekday (Monday - Friday) attendance in an office setting, at times after hours work may be required to meet business and customer needs Every position requires certain physical capabilities. CyrusOne seeks to make reasonable accommodations that enable individuals with disabilities to perform essential duties when possible CyrusOne is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. CyrusOne provides reasonable accommodation for qualified individuals with disabilities in accordance with the Americans with Disabilities Act (ADA) and any other state or local laws. We will respond to requests for reasonable accommodations to assist you in applying for positions at CyrusOne, or to submit a resume. If you need to request an accommodation, please contact our Human Resources at 214.488.1365 (Option 7) or by email at HR@cyrusone.com.

CyrusOne 3.4

Dallas, TX

Dallas, TX

201 to 500 employees

Company - Public

Real Estate

Real Estate

$1 to $2 billion (USD)

Digital Realty, CoreSite, Equinix

CyrusOne

TX

Senior Data Scientist

$82K-$132K (Glassdoor est.)

Overview Everyone wants to work with people they respect. Even better if you can work with a company you respect. We have both at The David J. Joseph Company, and a 135+ year track record on operating an ethical business with a positive work culture. It may sound cliché, but it’s true. We’re a big, global company that still feels small. Working at the David J. Joseph Company is unique. We offer employment in diverse settings such as traditional corporate headquarters, dynamic sales locations, and scrap recycling facilities. This workplace diversity gives our employees the variety they crave and the exposure to a global business. A career at The David J. Joseph Company is ideal for self-starters seeking to make an impact on our company and their careers. The David J. Joseph Company (DJJ), founded in 1885, is a world leader in scrap metal recycling & trading. With over 80 locations, the Joseph Company is headquartered in Cincinnati, Ohio and is a wholly-owned subsidiary of Nucor Corporation (NUE) a Fortune 200 Company. Responsibilities Partners with the business to gather requirements, understand business processes, and propose solutions for key business problems Develops, tests and productionalizes predictive, machine learning, data mining and optimization models Architects data pipelines and develops best practices for integrating analytics and predictive models into data warehouse, semantic, and data visualization layers Works collaboratively with data developers to build end-to-end data solutions Leverages databases, third-party data repositories, and other data sources to build ad-hoc and reusable data models Engineers raw data sets for use as input into analytics models, and develops design patterns for repeatable data cleansing Creates and implements tools to track model performance, metadata and accuracy; refactoring models as necessary Trains data team members in advanced analytics techniques Utilizes data visualization tools to create stories and presentations for business leadership Performs other duties as assigned Qualifications Bachelor’s or Master’s degree in Mathematics, Statistics, Data Analytics, Computer Science or equivalent Five plus years’ development experience with a statistical programming language (R or Python) Five plus years’ development experience utilizing SQL to extract and prepare data Five plus years’ experience developing and implementing predictive analytics models Five plus years’ experience with data visualization tools (e.g. PowerBI, Tableau, MicroStrategy, ggplot) Self-starter and ability to work independently and directly with key business customers Must be detail-oriented with the ability to manage multiple assignments effectively. Requires effective communication skills to convey status, ideas and concepts in a team environment. Requires professional demeanor with a high degree of flexibility, responsiveness and self-direction Preferred experience with data warehouse modeling and ETL Benefits We offer a competitive compensation and benefit package including paid training, bonus program, medical, dental, vision, life and disability coverage, vacation, paid holidays, a 401(k) plan with match, tuition reimbursement and other great benefits. EEO Statement The David J Joseph Company (DJJ) is a drug-free workplace and conducts pre-employment testing as a condition of employment.DJJ is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, ethnicity, religion, creed, sex, pregnancy, lactation/breastfeeding, sexual orientation, gender identity or expression, national origin, citizenship, ancestry, age, marital status, familial status, disability, genetic information, protected veteran status, military status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. DJJ hires and promotes individuals solely on the basis of their qualifications for the job to be filled. If you’d like more information on your EEO rights under the law, please click here. DJJ reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and teammates.DJJ also provides a work environment in which each teammate is able to be productive and work to the best of his or her ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all teammates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all teammates and applicants. E-Verify Information | E-Verify Notice EJN EJN

The David J. Joseph Company 4.4

Cincinnati, OH

Cincinnati, OH

201 to 500 employees

Subsidiary or Business Segment

Metals Brokers

Mining & Metals

Unknown / Non-Applicable

-1

The David J. Joseph Company

OH

Data Scientist

$84K-$146K (Glassdoor est.)

USEReady is looking for 2-3 Data Scientist to join our Team: Predictive models in R or Python Large scale distributed computing and analytics (Hadoop, Spark) Detailed Knowledge of SQL Data Cleaning and Preparation Machine Learning and Text Mining Analytics & Statistical modelling, NLP Azure, AWS, Google Cloud Data Bricks Experience is a plus Immediate Interviews!! About USEREady: Please visit our website at www.useready.com USEReady Inc. was founded in 2011 and our mission is to help organizations succeed by fast tracking their business performance. We relentlessly strive towards value-driven innovation using advanced BI, data management, and infrastructure management services. With offices in New York, New Jersey and Bangalore, our global delivery service is enriched with winning strategies, technology expertise and customer fanaticism. We have a proven track record of success in various domains such as capital markets, insurance, healthcare, pharma, retail and media. Ranked #113 in Inc. 5000 Red Herring Top 100 North America Winner Tableau Gold Partner for 5 consecutive years Tableau Services Partner of the Year 2015 Tableau Services & Training and Alliance partner nominee of the year 2016 Alteryx, Collibra, Snowflake, AWS & Microsoft Partner Key partners for Informatica 2017 Tableau Software Partner Award Winners 2018 Tableau Marketing Innovation Award

USEReady 4.3

New York, NY

New York, NY

201 to 500 employees

Company - Private

Consulting

Business Services

$10 to $25 million (USD)

-1

USEReady

NY

Senior Risk Data Scientist

$107K-$172K (Glassdoor est.)

About Bill.com Bill.com is a leading provider of cloud-based software that simplifies, digitizes, and automates complex, back-office financial operations for small and midsize businesses. Customers use the Bill.com platform to manage end-to-end financial workflows and to process payments, which totaled over $70 billion for fiscal 2019. The Bill.com AI-enabled, financial software platform creates connections between businesses and their suppliers and clients. It helps manage cash inflows and outflows. The company partners with several of the largest U.S. financial institutions, more than 70 of the top 100 U.S. accounting firms, and popular accounting software providers. Bill.com has offices in Palo Alto, California and Houston, Texas. For more information, visit www.bill.com or follow @billcom. Mission: We are looking for a talented, enthusiastic and dedicated data science leader to join Bill.com’s Risk Management team. The incumbent will be responsible for managing junior data scientists as well as leading key projects associated with predictive fraud detection, transaction risk modeling and loss mitigation at Bill.com. This position requires a person who has experience with developing machine learning models and performing analytics preferably in risk domain. Professional Experience/Background to be successful in this role: Minimum 5 years (with M.S. degree) or 3 years (with PhD) of industry experience in data science An advanced degree (M.S., PhD.), preferably in Statistics, Physical Sciences, Computer Science, Economics, or a related technical field Strong track record of performing data analysis and statistical modeling using SQL, SAS or similar tools Mastery of a wide range of Machine Learning techniques, tools, and methodologies with a demonstrated capability to apply them to a broad range of business problems and data sources Machine Learning techniques include clustering, classification, regression, decision trees, neural nets, anomaly detection etc. Ability to clearly communicate complex results to technical experts, business partners, and executives Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses and action-oriented outcomes Desirable to have experience solving problems related to risk using data science and analytics Experience with implementation of Machine Learning models Prior team management and payment risk experience is a plus Competencies (Attributes needed to be successful in this role): Functional/Technical Expertise Thought leadership/People leadership Learning Abilities/Tech Savvy Communication Team Player Bill.com Culture: ● Humble – No ego ● Fun – Celebrate the moments ● Authentic – We are who we are ● Passionate – Love what you do ● Dedicated – To each other and the customer Our Applicant Privacy Notice describes how Bill.com treats the personal information it receives from applicants.

Bill.com 3.8

Palo Alto, CA

Palo Alto, CA

501 to 1000 employees

Company - Public

Financial Transaction Processing

Finance

$50 to $100 million (USD)

-1

Bill.com

CA

Data Scientist in Artificial Intelligence Early Career

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

*Organization and Job ID** Job ID: Directorate: National Security Directorate Division: Computing and Analytics Group: Data Sciences and Analytics *Job Description** Do you want to create a legacy of meaningful research for the greater good? Do you want to lead and contribute to work in support of an organization that addresses some of todays most challenging problems that face our Nation? Then join us in the Data Sciences and Analytics Group at the Pacific Northwest National Laboratory (PNNL)! For more than 50 years, PNNL has advanced the frontiers of science and engineering in the service of our nation and the world in the areas of energy, the environment and national security. PNNL is committed to advancing the state-of-the-art in artificial intelligence through applied machine learning and deep learning to support scientific discovery and our sponsors missions. Help us advance this frontier and protect our nation! Data science at the Pacific Northwest National Laboratory (PNNL) addresses critical national and global issues by applying scientific and mathematical techniques to multiple data sources and communicating the finding to our sponsors and the academic community. This position requires thought leadership and technical depth to support the sponsors of PNNLs National Security Directorate in the development and advancement of data science and deep learning research. Research of interest includes the development, implementation, and resulting analyses related to quantitative social science, human language technologies, computer vision, real-time streaming algorithms, national security, disaster response and recovery, health security, image/video understanding and other related fields. The data scientist in applied machine learning should have the following attributes: + Familiar with existing deep learning libraries (e.g., TensorFlow, PyTorch, Caffe2) and machine learning packages (i.e. sklearn) + Experience applying machine learning to domain specific applications, such as geospatial intelligence, natural language processing, behavioral modeling, social computing, time series prediction, computer vision, etc. + Ability to contribute that knowledge to the academic and research strength of PNNL and have experience writing scientific publications demonstrating their insight and discovery. This position will require interactions with Government, military, and industry officials nationwide for a variety of programs, projects, and tasks, including technical and programmatic concept development, planning, coordination, integration, and execution that can be supported by data science and deep learning techniques. *Minimum Qualifications** + Bachelor's with 0-1 years' experience or a Master's degree with 0 years' experience is required. *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:_ _Data Sciences & Analytics_ _Opening Date:_ _2020-03-24_ _Closing Date:_ _2020-04-07_

Pacific Northwest National Laboratory 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

Pacific Northwest National Laboratory

WA

Data Scientist

$61K-$109K (Glassdoor est.)

Description The core data science team at Dick's Sporting Goods is seeking a data scientist to support product teams within the technology organization. The team builds end-to-end machine learning solutions that drive business value in all parts of the organization. A few examples of projects that the team is currently working on are demand forecasting, search algorithm optimization, supply chain optimization, and visual search. We are looking for diverse teammates with strong technical skills who also have a passion for learning and deploying the latest machine learning algorithms. An ideal candidate will have a knowledge base in forecasting and/or optimization. The Role You'll Play: Machine Learning Applications & Analyses Apply machine learning and data mining techniques to extract actionable insights from large-scale, high-dimensional data. Build end-to-end algorithmic solutions that focus on improving the customer's experience both in-store and on our website. Compile data from disparate data sources leveraging both qualitative and quantitative data to build holistic views of customer's experience. Communicate and present complex analyses and models to all levels of leadership across the organization. Client Liaison Work with a variety of business units throughout the organization to help translate their requirements into specific analytical deliverables. Continue to improve and advance communications and collaborations amongst the various analytics teams and business units. Training Lead or support formal and/or informal training for team members on the various tools used for team members within the analytics team or client teams. Qualifications Education Master's Degree Preferred In: Statistics, Computer Science, Operations Research, Engineering, Mathematics, Economics, or other quantitative fields Additional experience will be considered in lieu of an advanced degree. Experience/Technology One to three years of experience Statistics / Machine Learning with applications in R or Python. Practical experience with SQL or a SQL-like language. Creating visualizations and presentations for non-technical users. Bonus Points Publication in top conferences or journals Experience applying machine learning techniques in a retail environment Experience with Kubernetes based systems such as Kubeflow Experience with any of the following: time-series forecasting and/or optimization Experience in a deep learning framework such as Tensorflow or PyTorch

DICK'S Sporting Goods - Corporate 3.8

Coraopolis, PA

Coraopolis, PA

10000+ employees

Company - Public

Sporting Goods Stores

Retail

$5 to $10 billion (USD)

REI, Academy Sports + Outdoors, Cabela's

DICK'S Sporting Goods - Corporate

PA

Data Scientist

$88K-$148K (Glassdoor est.)

POSITION SUMMARY: The Data Scientist is a highly motivated and experienced individual who likes to work in a multi-disciplinary team.The Data Scientist will be instrumental in the analysis and interpretation of high-throughput molecular data.Additionally, the individual in this role should have solid Data Sciences background and be strongly goal-oriented with a focus on real-world impact. ESSENTIAL DUTIES AND RESPONSIBILITIES: Statistical and bioinformatics analyses of high-throughput molecular data Interaction with internal and external collaborators to understand, design and develop the requested solutions Development and execution of data analysis protocols to support company's discovery pipeline Presentation of scientific results internally and externally Preparation and submission of scientific manuscripts for review and publication Other duties as assigned REQUIREMENTS: Requires a PhD in Bioinformatics, Statistics, Applied Math, Computer Sciences or related field with a 0-3 years of experience; or a MS with 5-7 years of industry experience Proficiency in R is required. Experience in Bioconductor is preferred Experience in Linux and Big Data technologies Experience in Scala, C, Python and MySQL is a plus Experience in working with NGS is a plus Proven ability to find creative and practical solutions to complex problems Proven experience in applying Data Science methodologies to extract, process and transform data from multiple sources Proven ability to deliver outputs in a comprehensive format that highlights major trends, avoid miss-interpretations and value the conclusions Proven ability to demonstrate attention to detail and record keeping Quick learner, extremely flexible and adaptable to the needs of internal collaborators in a dynamic environment Ability to efficiently work in multiple projects Excellent communication and interpersonal skills Must be able to work in a team-oriented environment

Berg Health 2.8

Framingham, MA

Framingham, MA

51 to 200 employees

Company - Private

Biotech & Pharmaceuticals

Biotech & Pharmaceuticals

$1 to $5 million (USD)

-1

Berg Health

MA

Data Scientist

$60K-$99K (Glassdoor est.)

Job Description Oversight is a leading provider of cloud-based artificial intelligence solutions automating and analyzing financial payment transactions to identify fraud, non-compliant purchases, and wasteful spending. Oversight analyzes over $2 trillion in expenditures annually at Fortune 5000 companies and government agencies worldwide. In this position as a Data Scientist, you will be working with a team of skilled and motivated data scientists and machine learning engineers designing and building AI solutions to expand our product line. Responsibilities Our team is at the fore front of building, operating and supporting business systems with machine learning at their core. As a Data Scientist you will be incorporating machine learning into our products in order to transform how companies find and manage spend risk throughout their organization. You will collaborate with cross functional teams on complex data science problems and be responsible for solution design, data preparation, model building, and model management. Ultimately, we’re looking for people who are excited by machine learning, data and technology, love to solve problems, constantly challenge themselves to provide the best user experience, can work well alone, have a wide range of skills and are able and willing to constantly learn. Skills Technical Skills/Requirements 3+ years real world experience in a data science or equivalent role Extensive experience designing and maintaining a machine Learning pipeline – ETL, feature engineering, modeling, predicting, explaining, deploying and ongoing diagnostics Excellent pattern recognition and predictive modeling skills Experience communicating complex models and designing Strong experience with data processing and data analytics Experience analyzing a wide variety of structured and unstructured data Strong communication and data presentation skills Experience in both R&D and commercial software product development environment is a plus Technologies Expertise in python, scikit-learn, and pandas Experience with Deep learning frameworks (FastAI , Keras, PyTorch etc.) preferred SQL Linux Interested and qualified candidates should submit a resume with salary requirements to recruiter@oversightsystems.com. About Oversight The world’s largest companies and government agencies trust Oversight to identify enterprise spend risk no matter where it resides in their organization. Oversight’s AI-powered platform drives financial transformation by reducing audit effort and eliminating data silos to monitor and analyze 100% of spend transactions with unparalleled accuracy. With full visibility into spend, Oversight customers find and prioritize employee-initiated and third-party spend risk that would otherwise go undetected by in-house processes. By identifying process breakdowns and making corrections early, Oversight helps optimize budgets, reduce out-of-policy spending by 70% while maximizing audit efficiency and eliminating cash leakage. Oversight is an equal opportunity employer. Job Applicant Privacy Notice

Oversight Systems 4.7

Atlanta, GA

Atlanta, GA

51 to 200 employees

Company - Private

Computer Hardware & Software

Information Technology

$25 to $50 million (USD)

-1

Oversight Systems

GA

Data Scientist - Research

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

Do you have a passion for using data science to unlock insights and solve complex business challenges? If you want to make a positive impact in a growing area of a client-centric agency that serves some of the world's biggest brands as partners in leveraging the power of customers, this role could be for you. C Space is hiring a Data Scientist - Research to work closely with our internal teams and clients to help companies integrate the customer into their business. We are looking for someone who can be a key contributor in an area which is becoming increasingly important to our business. You'll be driven to deliver impact and solve some of the most challenging data science problems our clients face. Most importantly, you will be making a real difference in helping brands become more customer-focused and make their business more human. C Space is a customer agency. Our mission is to make business more human. We create rapid insight and business change by solving problems from the customer's perspective for 200+ of the world's best-known brands. Our promise to our clients is 'Customer Inspired Growth' and to be effective at this we need to combine art AND science, human stories AND robust data to build confidence and unlock insights. That's why your impact in this role will be so critical to our success. What You'll Do In this position, you'll play a key role pioneering data-analytics work with some of the world's largest brands. Our clients are looking for solutions to their business problems that allow for a broad range of data as input. You will work closely with various teams of researchers, consultants and clients to scope, lead, and execute various projects that could involve statistical modeling, machine learning – supervised and unsupervised – to support AI-driven solutions, as well as ETL projects. This includes: Collaborate with internal and external client stakeholders to determine appropriate proof points, specify, build, and use data structures to support an analysis plan Work with clients to determine how to best marry and leverage data to produce confidence in decision-making Scope problems from a technical perspective with data scientists, business analysts, and statisticians Maintain C Space's new suite of primarily SQL based reporting tools (Periscope Data, Tableau, etc.) to support internal and/or client work Support business development and delivery efforts to help grow the data & analytics business and/or expand existing lines of data & analytics business Deliver presentations to internal clients and researcher team mates that communicate a logical, compelling and cohesive stories using data Participate in a culture of continuous education - keeping abreast of emerging analysis techniques and market trends, bringing new ideas from outside the business to the work you're doing with C Space colleagues and clients Desired Skills and Experience Bachelors or higher in Data Science, Statistics, Economics, Computer Science, Mathematics, or related applied quantitative field preferred 2-5 years hands-on industry (non-academic) experience in Data Science (or equivalent quantitative job title) Experience with regularized regression, random forest, boosting methods, and several other statistical/machine learning methods Experience ingesting and manipulating large volumes of data (both tall and wide) Experience with multiple analytical toolsets and evidence of tool agility A proven ability to lead the merging of technical and non-technical considerations and stakeholders into a satisfying and innovative offering Experience working across functions to communicate the value of the data and analytic team's work, and tailor the output of analyses to meet client needs An ability to think through and articulate the required stack to answer a business question, including applicable survey research Strong technical skills and aptitude; you can efficiently write R, Python and SQL based data transformations to turn raw data into usable data inputs to support analytics While others may see you as an expert, you have a rare ability to make the complicated simple and your outstanding communication skills mean that you're able to explain complex concepts to people who won't be as data-savvy as you You're able to excite and inspire people about the power of data and its ability to generate game-changing insights when handled the right way There's no such thing as a typical C Spacer. What C Spacers thrive on is a growth mindset. We're a growing, always-changing business, often reinventing ourselves to keep pace with the fast-changing world of our clients. So we're looking for people who are excited about change and who challenge the status quo. We need people who share our passion for the role customers can play in solving business problems - people who want to disrupt the way things traditionally have been done. We're focused on building a learning culture where it's safe to experiment, take risks and do things differently. That means we need people who aren't afraid to speak up and share an alternative perspective yet are humble and self-aware enough to admit they don't know everything. Collaborators, self-starters, creative problem-solvers. We're always challenging ourselves to be better, more human, more impactful. 20 years since launch, we still think of our business as a 'work in progress' where we're focused on getting better every day. If you share that philosophy when you think about your own personal development, we might be a good match. About C Space C Space is a customer agency. Our mission is to make business more human. We create rapid insight and business change by solving problems from the customer's perspective. We keep our clients relevant by building real, ongoing relationships with customers that in turn help them deliver superior experiences, launch successful products and build loyalty. Our customized approaches are tailored to specific business needs and include online insight communities, immersive storytelling, data and analytics, activation events, innovation projects and business consulting. We do this for 200+ of the world's best-known brands – Bose, Walmart, Jaguar Land Rover, Mars, Samsung, IKEA and more – to create "Customer Inspired Growth". We are passionate about our people and proud of our culture. We co-created a set of values to ensure that we are delivering fantastic work, continuing to learn and building a high-performance culture which creates opportunities for those who work here: I've got this: making things happen, doing what we say we will Only accept awesome: challenging ourselves to raise the bar, taking pride in the work we do Show the love: making space to celebrate success, thinking about how I show up and my impact on others Do what scares you: challenging ourselves, taking risks and learning more Tell it like it is: caring enough to provide great feedback, having the courage to speak up Open up and listen: listening first and fully before we respond or react Find what fascinates: embracing alternative perspectives and new ways of doing things We before me: acting in the best interests of my team and clients and recognizing that I need to take care of myself if I'm to do this effectively Leave your mark: creating lasting impact on our clients, the people we work with and our business We are focused on building a diverse and inclusive business and we welcome applications from people from varied backgrounds and walks of life – talented, creative people with their own voice, ideas and perspectives. So if you think you have the right skills and mindset for this position, whether through education, work or life experience, please apply. Headquartered in Boston, C Space also has offices in London, New York and San Francisco. To learn more, visit www.cspace.com or follow us on Twitter @CSpaceGlobal or Instagram @c_spaceglobal. C Space is a part of DDB, a division of Omnicom Group Inc. C Space is proud to be an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment at C Space without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law.

C Space 3.1

Boston, MA

Boston, MA

201 to 500 employees

Company - Public

Advertising & Marketing

Business Services

$100 to $500 million (USD)

IDEO, Gongos, Inc., Ipsos

C Space

MA

Data Scientist

$96K-$161K (Glassdoor est.)

SummaryProvide data management and statistical analysis in Big Data environment. Assist in development of tools and processes to manage, integrate and synthesize large data sets and deliver business rules and recommendations to functional business units and product managers Responsibilities and Duties • Perform analyses, development and provide data mining in a large data warehouse environment which includes data design, database architecture, Meta data and repository creation. • Extensive use data mining and data analysis tools. • Review and validate data loaded into the data warehouse for accuracy • Provide technical consulting to users of data warehouses and advises users on conflicts and inappropriate data usage • Gather and assess business information needs and prepare system requirements • Interact with user community to develop and produce reporting requirements • Responsible for prototyping solutions, preparing test scripts, and conducting tests and for data replication, extraction, loading, cleansing, and data modeling for data warehouses • Maintain knowledge of software tools, languages, scripts, and shells that effectively support the data warehouse environment in different operating system environments • Make recommendations towards the development of new code or reuse of existing code. • Responsibilities may also include participation in component and data architecture design, performance monitoring, product evaluation and buy versus build recommendations #LI-JS1 Requirements • 7+ years of programming/systems analysis experience • 5+ years of experience with business intelligence and stat tools and systems • Strong experience in Relational Database Management Systems (RDBMS) and data warehouse front-end tools • Extensive knowledge of data warehouse and data mart concepts • Experience in systems analysis and design • Solid understanding of development, quality assurance and integration methodologies • BS in Computer Science, IS, or other related field. Or equivalent work experience Technical Skills Required • Stat & Data Tools – Python, Machine Learning, SQL, Spark, Data Visualization • Data & Cloud Tools – Hadoop, AWS Big Data Stack (S3, Spark, Lambda, Presto, Athena, Kinesis, Redshift) • Scripting Tools – Linux/Unix, Shell Scripts

Numeric, LLC 3.2

Philadelphia, PA

Chadds Ford, PA

1 to 50 employees

Company - Private

Staffing & Outsourcing

Business Services

$5 to $10 million (USD)

-1

Numeric, LLC

PA

R&D Data Analysis Scientist

$65K-$130K (Glassdoor est.)

Applies developed level of subject matter knowledge to solve a variety of common business issues. Works on problems of moderately complex scope. Acts as an informed team member providing analysis of information and limited project direction input. Exercises independent judgment within defined practices and procedures to determine appropriate action. Follows established guidelines and interprets policies. Evaluates unique circumstances and makes recommendations. Responsibilities Designs limited enhancements, updates, and programming changes for portions and subsystems of end-user applications software running on local, networked, and Internet- based platforms. Analyzes design and determines coding, programming, and integration activities required based on specific objectives and established project guidelines. Executes and writes portions of testing plans, protocols, and documentation for assigned portion of application; identifies and debugs issues with code and suggests changes or improvements. Participates as a member of project team of other software applications engineers and internal and outsourced development partners to develop reliable, cost effective and high quality solutions for assigned applications portion or subsystem. Collaborates and communicates with internal and outsourced development partners regarding software applications design status, project progress, and issue resolution. Knowledge and Skills Using software applications design tools and languages. Using statistics, mathematics, algorithms and programming languages. Ability to create models to pull valuable insights from data. Create stories and visualizations to describe and communicate data insights. Designing software applications running on multiple platform types. Software applications testing methodology, including execution of test plans, debugging, and testing scripts and tools. Strong analytical and problem-solving skills. Strong written and verbal communication skills; mastery in English and local language. Ability to effectively communicate design proposals and negotiate options. Education and Experience Required Bachelor's or Master's degree in Computer Science, Information Systems, Mathematics, Economics, Physics, or equivalent. Typically, 2-4 years of experience.

HP Inc. 4.0

Vancouver, WA

Palo Alto, CA

10000+ employees

Company - Public

Computer Hardware & Software

Information Technology

Unknown / Non-Applicable

-1

HP Inc.

WA

Analytics Consultant

$52K-$81K (Glassdoor est.)

SpringML is seeking an Analytics Consultant to augment our Salesforce delivery practice. You will play a critical role in our client engagements using the Tableau and the Salesforce Analytics Cloud platform (Einstein Analytics, Einstein Discovery, and the Einstein Platform). You will design and implement highly customized solutions for our customers business problems, typically across multiple functions of a customers organization through data integration, visualization, and analysis. RESPONSIBILITIES Ability to work as a member of a team assigned to design and implement solutions for our customers. Data analysis skills to conduct analysis and deliver recommendations to the team and customer. Dashboard and Dataset development develop dashboards and datasets that meet and exceed customer requirements. Presentation skills demonstrated ability to simplify complex situations and ideas and distill them into compelling and effective written and oral presentations. Learn quickly ability to understand and rapidly comprehend new areas, functional and technical, and apply detailed and critical thinking to customer solutions. QUALIFICATIONS B.S. or equivalent degree in computer science, statistics, mathematics or other relevant fields. 0 3 years of experience in business analytics, data science, or consulting in these fields. 1+ year experience with Salesforce or Tableau preferred. Previous experience using Salesforce Einstein Analytics or Einstein Discovery a plus. Candidates holding certifications in either Tableau or Salesforce Analytics will receive priority consideration. Experience or equivalent coursework using statistics for data analysis with an understanding of, at a minimum, multivariate regression. Strong understanding of query languages and basic understanding of programming languages; experience with Python, R, Java, or Apex a plus. Powered by JazzHR

SpringML 4.4

Indianapolis, IN

Pleasanton, CA

1 to 50 employees

Company - Private

Enterprise Software & Network Solutions

Information Technology

Unknown / Non-Applicable

-1

SpringML

IN

Director, Data Science

$139K-$220K (Glassdoor est.)

Reporting to the Sr. Director, Analytics & Data, the Director of Data Science will direct the selection, planning and completion of all data science opportunities that involve high impact, customer-affecting tactics and strategies working in partnership with various functional and business partners. The decisions made by this position have a profound impact on the organization through the development of analytical work that influences overall company direct marketing, catalog, eCommerce, branch, and sales force strategies and enhances the success of tactical initiatives. The role is critical to company’s continued transformation to an increasingly digital and data-driven organization. Principal Duties & Responsibilities: Work with internal senior leaders and business partners to identify key areas for Data Science to impact customer experience and demand generation across domains that include sales force, marketing and website Create and align on a roadmap to execute against the priorities Research and recommend data science solutions for improved effectiveness and delivery of demand generation initiatives Direct the design, development, and delivery of data science initiatives across the organization Partner with internal senior leaders to ensure these business initiatives are executed with optimal chance of success and adoption Direct, coach, and mentor a growing talented team of data scientists, while creating an inclusive environment Provide thought leadership around the data and computing environment necessary for optimal success Appropriately communicate and represent the work performed by the team to senior leadership within the company Preferred Education & Experience: Bachelor’s degree in statistics, economics, mathematics, or related field. Master’s in statistics, economics, data science, or analytics preferred 10+ years equivalent work experience required. Experience directing a Data Science program in a company, that includes demonstrable impact via development and implementation of Data Science based products and product roadmaps Experience with linear regression, logistic regression, cluster analysis, time series analysis, and machine learning/ AI techniques Experience with SAS, R, Python, and SQL Knowledge of artificial intelligence systems, including image recognition Ability to assume high exposure responsibilities and interact with senior leadership Strong business acumen and a strategic mindset Excellent and proven communication skills Ability to establish and sustain strong business relationships and effectively prioritize business needs Grainger is an Equal Opportunity Workplace and an Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Apply Now

Grainger 3.6

Lake Forest, IL

Lake Forest, IL

10000+ employees

Company - Public

Wholesale

Business Services

$10+ billion (USD)

-1

Grainger

IL

Scientist

$50K-$102K (Glassdoor est.)

Scientist Organization Eurofins EAG Materials Science, LLC Location MO, Maryland Heights Job Code 21495 Apply Now *#main-wrapper { background: (204,204,204); width: 100.0%; } Scientist EAG Laboratories is a global scientific services company serving clients across a vast array of technology-related industries. Through multi-disciplinary expertise in the life, materials and engineering sciences, EAG helps companies innovate and improve products, ensure quality and safety, protect intellectual property and comply with evolving global regulations. EAG employs 600+ employees in seven countries, across 17 laboratories serving more than 4,000 clients worldwide. Our St. Louis lab is looking for a highly motivated chemist who enjoys solving problems using analytical chemistry. This hands-on position will allow you to be part of a diverse team of research chemists responsible for chemical analysis and formulation support. Our chemical testing lab offers formulation (reverse engineering) contaminant identification, custom synthesis, product development, litigation support and expert witness services. Use of information in this role is subject to the International Traffic in Arms Regulations (ITAR). All accepted applicants must be U.S. Persons as defined by ITAR: U.S. Person is a U.S. Citizen, U.S. Permanent Resident (i.e., "Green Card Holder"), Political Asylee, or Refugee. Employee Responsibilities: Responsibilities include method modifications and development and validation of new methods. Operate and maintain laboratory and non-laboratory instruments. Generate experimental data according to written SOP, protocol, method, or work instruction. Write experimental designs/protocols/reports as needed in order to address client needs. Promote industry awareness of EAG by participating in client visits, tradeshows, consultations, and/or by generating industry publications and presentations. The Ideal Candidate would possess: Education and Experience: M.S. or Ph.D. in Chemistry or BS with >10 years of experience Method Development experience Hands-on laboratory and instrument maintenance experience is required GC, GC/MS, LC, LC/MS experience Proficient in Microsoft Office (Including Excel, Word, Outlook, etc.) What we offer: Excellent full time benefits including comprehensive medical coverage, dental, and vision options Life and disability insurance 401(k) with company match Paid vacation and holidays To learn more about EAG Laboratories, a Eurofins company, please explore our website www.eurofinsus.com. Eurofins is a M/F, Disabled, and Veteran Equal Employment Opportunity and Affirmative Action employer.

EAG Laboratories 2.7

Maryland Heights, MO

San Diego, CA

501 to 1000 employees

Subsidiary or Business Segment

Research & Development

Business Services

$50 to $100 million (USD)

-1

EAG Laboratories

MO

Data Scientist SR

$85K-$139K (Glassdoor est.)

Data Scientist, Senior, Charlottesville, VA Position Summary TBG is seeking a Senior Data Scientist to provide support. Principle Responsibilities of the Position: · Proficiency in at least one of the following languages: Python, R, Java, C++ as applied to programming access and manipulation of data (other languages will be considered). · Demonstrated experience working with one or more database structures (e.g. relational, noSQL, graph). Such expertise should include experience with database retrieval methods (e.g. SQL, database specific queries, APIs). · Experience working with a range of data storage/access options (e.g. S3 buckets, FTP sites, APIs). · Demonstrated experience enabling access to data by way of databases or dashboards. · Familiar with Department of Defense (DoD) and Intelligence Community (IC) activities, functions, and organizational structures. · Knowledge and understanding of DoD/IC operations, data infrastructure and architecture. · Familiarity with cloud services as applied in the DoD and IC. · Knowledge with simplification and optimization of data automation workflows; streamlining of extract-transform-load (ETL) operations. Certification as an IT architect or enterprise architect from the Open Group, FEAC, or other industry recognized IT architecture certification program preferred. · Knowledge of IT related disciplines: Software Development Life Cycle (SDLC) including a basic understanding of various SDLC methodologies such as agile and waterfall and their appropriate usage. · Knowledge of modeling approaches: Unified Modeling Language (UML), Business Process Modeling, and Data Modeling. Knowledge and experience in statistical and data mining techniques and social network analysis Collaborate with stakeholders within the organization to identify opportunities for leveraging data to drive analytical solutions. Mine and analyze data from databases to drive optimization and improvement of product development, analytical techniques, and analytical assessments. Assess the effectiveness and accuracy of new data sources and data-gathering techniques. Develop TTPs for coordinating the flow of information and work periodically test and verify said TTPs. Develop processes and tools to monitor and analyze model performance and data accuracy. Train and educate front-end users of the knowledge management tools. Coordinate with various functional teams to implement models and monitor outcomes. Create predictive modeling to increase and optimize customer experiences. Develop custom data models and algorithms to apply data setsExperience creating and using advanced machine learning algorithms and statistics, regression, simulation, scenario analysis, modeling, clustering, decision trees, and neural networks · Deep understanding of data architecture approaches (e.g., TOGAF), industry standards and best practices (e.g., DMBOK). · Strong technical skills with data technologies (e.g., Master Data Management, Enterprise Data Warehouses, Operational Data Stores, Database Management Systems, Business Intelligence). · Practical experience with, and a strong understanding of design approaches for Enterprise Data Warehouses. · Expert data modeling skills (i.e. conceptual, logical and physical model design, experience with Operation Data Stores, Enterprise Data Warehouses and Data Marts). Education Required: · Bachelor’s degree with 9 or more years’ experience in information technology or related discipline · OR · Master’s Degree with 7 or more years’ experience in information technology or related discipline · OR · PhD degree with 4 or more years related work experience · OR · Equivalent combination of education and experience Experience Required: · Experience cleaning, filtering, and transforming data, as well as enriching data, especially by way of database joins or table lookups. · Must have an enterprise perspective to data and how the data drives business value. Experience using web services including SOAP, S3, and Spark Experience with distributed data/computing tools including Map/Reduce, Hadoop, Accumulo, and MySQL · Experience with ETL concepts, Cognos and OBIEE tools. · Experience with Master Data Management tools. Special Knowledge/Skills Required:· Current DoD TS/SCI Security Clearance The Buffalo Group is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities

The Buffalo Group 3.9

Charlottesville, VA

Reston, VA

501 to 1000 employees

Company - Private

IT Services

Information Technology

$100 to $500 million (USD)

ManTech, Booz Allen Hamilton, Leidos

The Buffalo Group

VA

Data Scientist

$74K-$122K (Glassdoor est.)

We are looking for an individual who will begin to build our data science knowledge and team. This person would help us discover the information hidden in our existing data, identify issues in our data collection, opportunities for improvement in our collection and use our data to build systems that will help us make smarter decisions to deliver even better products at better efficiencies. The primary focus will be in applying data-mining techniques, statistical analysis, and applied control theory resulting in buildout of high quality control and prediction systems to be integrated with our facilities in real time. Responsibilities & Duties: · Creating and deploying Artificial intelligence and Machine learning models to our industrial production process within our expert system products development, with a direct impact on plant operations · Manage the necessary data collection and pre-processing · Propose and analyze new instrumentation to provide added value to expert systems · Creation of models to solve operational problems and develop troubleshooting tools such as equipment malfunction detection, equipment proactive maintenance. · Develop the team Artificial Intelligence vision and expertise. · Define best practices in the domain of Machine Learning and AI. · Train other team members to support the use of data analytics tools and to expand the use of machine learning within Carmeuse Additional duties as assigned by management Job Qualifications: · Masters Degree or higher in applied data science AI/ML applications preferred. · Bachelor’s degree in Electrical Engineering, computer science, automation theory or related field with requisite applicable experience can be considered. · Minimum of 3 years of experience in a data science implementation role. Preferably in the lime/cement/bulk material handling industry but not required. · AI/ML, Network, security, Microsoft, Cisco certifications a bonus. · Proficiency with process control instrumentation, network protocols, web services, windows, Cisco, Checkpoint and troubleshooting; · Proficiency and familiarity with · Tensor flow · Python and other programming languages · Experience utilizing Jupyter notebooks. · Experience with Cloud based vendors of AI/ML solutions: Azure, Google. · Windows 7/10/server/datacenter · Detail and process oriented with strong problem resolution abilities; ability to use root cause analysis to troubleshoot; · Ability to travel up to 20 to 50%. Overnight stays will be required and could include extended assignments during critical construction and start-up periods.

Carmeuse 3.1

Pittsburgh, PA

Louvain-la-Neuve, Belgium

1001 to 5000 employees

Company - Private

Mining

Mining & Metals

$1 to $2 billion (USD)

Lhoist, Graymont, Sibelco Group

Carmeuse

PA

R&D Sr Data Scientist

$99K-$157K (Glassdoor est.)

We are seeking an experienced and innovative Data Scientist to develop and implement solutions within the our organization. The Data Scientist will be responsible for partnering with internal Data Science engineering teams, Product Development teams, and industry experts to develop innovative principles and solutions. The position defines and implements models to uncover patterns and predictions which create business value and innovation in the area of Identity Management, Privacy, and other cloud platforms and software solutions. The candidate will be operating in a complex and diverse organization, successfully turning insights into actions and value. The role will put the candidate on the forefront of Software Platforms big data initiatives and provide insight and exposure to all aspects of HP and the industry. Responsibilities Leads organization wide team or teams of other data science professionals in complex projects to mine data using modern tools and programming languages Develop new statistical models / machine learning techniques for identity and privacy management platforms Strong experience developing AI applications in predictive data, intent recognition and natural language processing Ensure accurate interpretation by combining business acumen with detailed data knowledge and statistical expertise. Works closely with machine learning experts to design, implement, tune, and optimize machine learning algorithms Manages and creates relationships with business partners to evaluate and foster data driven innovation, provide domain-specific expertise in cross-organization Leverages recognized domain expertise, business acumen, and overall data systems leadership to influence decisions of executive business leadership, development partners, and industry standards groups. Communicating business value and innovation potential through effective insights/visualizations. Represents the business at data science events, forums, boards. Prepares and presents literature, presentations, invention disclosures for peer review & publication in industry data science domain initiatives and conferences. Provides guidance and mentoring to less-experienced staff members. Qualifications Master or PhD in Engineering, Computer Science, Natural Science, Physics, Mathematics, or other relevant quantitative & applied field 5+ years industry experience with a proven track record of leveraging statistical modeling using large amounts of data to drive significant business impact. Solid foundation in statistics, modeling, machine learning and deep learning (unsupervised and supervised methods; reinforcement learning is a plus). Experienced in evaluating trade offs between model complexity and business value. Fluent in structured and unstructured data, its management, and modern data transformation methodologies. Ability to define and create complex models to pull valuable insights, predictions and innovation from data. Effectively and creatively tell stories and create visualizations to describe and communicate data insights. Proven experience in machine learning using tools like Caffe/TensorFlow/Scikit-learn, etc. Experience working effectively with science, data processing, and software engineering teams Ability to write clean, efficient code. Experience developing and testing models at scale in a production environment preferred. Familiarity with SQL. Knowledge of Spark/Hive/Pig a plus. Independent research ability and passion for learning and innovating new methodologies at the intersection of applied math, statistics, and machine learning. This is a new field and a lot of the hypotheses, intuitions, and models will have to be developed from scratch. Exceptional interpersonal and communication skills coupled with strong business acumen. Must be able to translate business objectives into actionable analyses, and analytic results into actionable business and product recommendations. Strong English communication skills Education & Experience • Bachelor's, Master's or PHD degree in relevant field (Business, Analytics, Computer science, etc.) • 3+ years' experience working in a agile environment • 3+ years' experience in AI/ML techniques and processes • 3+ years' experience in Cloud based technologies & architecture (AWS preferred)

HP Inc. 4.0

Vancouver, WA

Palo Alto, CA

10000+ employees

Company - Public

Computer Hardware & Software

Information Technology

Unknown / Non-Applicable

-1

HP Inc.

WA

Customer Data Scientist/Sales Engineer (Bay

$79K-$222K (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

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

Research Scientist

$57K-$118K (Glassdoor est.)

Company Overview Imagine if we could match patients with the treatments that prove the most effective for them . . . GNS Healthcare applies a powerful form of AI called causal machine learning to predict which treatments and care management programs will work for which patients, improving individual patient outcomes and the health of populations while reducing the total cost of care. Headquartered in the biotechnology and health IT center of Cambridge, MA, our patented REFS technology is based on recent breakthroughs in causal machine learning and AI that transforms massive quantities of patient data into computer models of disease at molecular, patient, and health system levels. These computer models power up solutions, products, and services that health plans, biopharmaceutical companies, health systems, and patient foundations utilize to slow disease progression, reduce adverse events and hospitalization, and improve therapeutic effectiveness. Our platforms and solutions have been validated across more than 35 diseases including oncology, cardiovascular and metabolic disease, autoimmune diseases, neurology, etc. and have appeared in over 40 peer-reviewed publications. Position Summary The Research Scientist will join a dynamic team responsible for start-to-finish work on the analysis and interpretation of real world datasets using GNSs powerful cloud-based analytics platform. An ideal candidate is someone who thrives on working in a fast-paced and exciting team environment in one of the most cutting-edge industries where big data analytics meets healthcare. You will carry out analysis projects using our proprietary, supercomputer-powered Bayesian network modeling and simulation platform, and will synthesize these results into meaningful reports for clients and product development. Responsibilities: Work as part of internal research teams and with clients to evaluate study design, define research questions, write statistical analysis plans/study protocols, conduct analyses, participate in the full research process, edit the full body of reports, and author publications and submissions to scientific meetings. Complete studies of high complexity in a timeline driven manner and achieve high client satisfaction. Perform predictive and causal modeling using both proprietary and off-the-shelf tools. Perform data manipulations and develop algorithms on multi-data sets that create the analytic files necessary to support analyses. Present information in a clear and concise way to clients and collaborators and assist them to understand the data and discuss how to incorporate the information into their processes. Troubleshoot with clients to discuss and refine models as needed. Scientific communications to peer-reviewed journals and conferences Requirements Minimum of a Masters Degree in Epidemiology, Statistics, Biostatistics, Data Science, Mathematics, Health Informatics, Health Economics, Bioinformatics, Computational Biology, Biophysics, or Computer Science, PhD is a plus. 2 years of relevant work experience. Expert level programming in R required. Experience in machine learning, probability theory, Bayesian analysis, and causal inference methods is a strong plus. Familiarity with the UNIX and cluster computing environment preferred. Experience handling and manipulating large data sets, EHR and claims data is a plus. Passion to learn new things and solve problems. Strong written and verbal communication; a clear ability to communicate technical material to non-technical audiences simply and clearly. Title commiserate with experience Company Culture Our philosophy at GNS is simple: we cannot transform healthcare with anything less than an all-star team. We are seeking smart, driven people who are experts in their field, have a track record of success and a passion for creating change. We believe that strong teams supercharge the performance of individuals, create a fun and dynamic workplace and great results for our clients and the people they serve. We are passionate about our work and believe in the ability of our technology to change the world. Our core values of integrity, collaboration, value, diversity, and game-changing guide our behaviors with each other and our clients. GNS offers competitive salaries, stock options, unlimited vacation, health, dental and vision insurance, life insurance, long-term disability, 401(k), generous parental leave, tuition reimbursement, professional development, subsidized parking and gym membership, tasty food, volunteering opportunities, social gatherings, and more. Equal Employment Opportunity GNS Healthcare provides equal employment opportunities to all employees and applicants for employment without regard to race, color, national origin, religion, sexual orientation, gender, gender identity or expression, age, veteran status, disability, pregnancy or conditions related to pregnancy, or genetics. In addition to federal law requirements, GNS Healthcare complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. Powered by JazzHR