Health Data Scientist

Health Data Scientist
The Opportunity:
As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors—from fraud detection to cancer research to national intelligence—we need you to help find the answers in the data.
On our team, you’ll use your leadership skills and data science expertise to create real-world impact. You’ll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll guide teammates and lead the development of algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used. This position is open to remote delivery anywhere within the U.S., to include the District of Columbia.
Work with us as we use data science for good.
Join us. The world can’t wait.
You Have:
4+ years of experience working in a data science, machine learning engineering, graduate research, or a data engineering roleExperience working with healthcare-based datasets, including for public health, laboratory, or clinical data analysisKnowledge of math, probability, statistics, and underlying bioinformatics conceptsKnowledge of system interoperability for traditional and novel healthcare data systemsAbility to obtain a security clearanceBachelor’s degree
Nice If You Have:
3+ years of experience with data streaming, ingest, ETL, and data warehousing technologies3+ years of experience with bioinformatics software development or advanced health data analyticsExperience with cloud-computing services, including Amazon Web Services or Microsoft AzureExperience with designing or developing machine learning modelsExperience with using common data analytics and programming languages, including R, Python, Java, Scala, or SQLExperience with using standardized formats for research and clinical dataExperience with machine learning frameworks, including Tensorflow or PyTorchExperience with working in containerization technologies, including Docker or KubernetesAbility to learn technical concepts and communicate with multiple functional groups with health or scientific core competencies
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Create Your Career:
Grow With Us
Your growth matters to us—that’s why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like upskilling programs, tuition reimbursement, mentoring, and firm-sponsored networking, you can chart a unique and fulfilling career path on your own terms.
A Place Where You Belong
Diverse perspectives cultivate collective ingenuity. Booz Allen’s culture of respect, equity, and opportunity means that, here, you are free to bring your whole self to work. With an array of business resource groups and other opportunities for connection, you’ll develop your community in no time.
Support Your Well-Being
Our comprehensive benefits package includes wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401(k) match, and more. With these benefits, plus the option for flexible schedules and remote and hybrid locations, we’ll support you as you pursue a balanced, fulfilling life—at work and at home.
Your Candidate Journey
At Booz Allen, we know our people are what propel us forward, and we value relationships most of all. Here, we’ve compiled a list of resources so you’ll know what to expect as we forge a connection with you during your journey as a candidate with us.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $73,100.00 to $166,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees.
EEO Commitment
We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.


Intern Economics Amazon S Choice

DESCRIPTION
The Amazon Economics Team is hiring Interns in Economics. We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets. Some knowledge of econometrics, as well as basic familiarity with Stata, R, or Python is necessary. Experience with SQL, UNIX, Sawtooth, and Spark would be a plus.  These are full-time positions at 40 hours per week, with compensation being awarded on an hourly basis. You will learn how to build data sets and perform applied econometric analysis at Internet speed collaborating with economists, data scientists and MBAʼs. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with placement. Roughly 85% of interns from previous cohorts have converted to full time economics employment at Amazon. If you are interested, please send your CV to our mailing list at econ-internship@amazon.com.
BASIC QUALIFICATIONS
To be considered for an economist internship in 2023, applicants should be enrolled in at least the third year of their PhD program and not currently on the job market.
PREFERRED QUALIFICATIONS
Experience with SQLFamiliarity with UNIXFamiliarity with SawtoothFamiliarity with Apache SparkExperience working with large data sets
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $49.66/hr in our lowest geographic market up to $96.63/hr in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.


Senior Data Scientist Ads Modeling

About this role
Faire is using machine learning to change wholesale and help local retailers compete with Amazon and big box stores. Our experienced data scientists and machine learning engineers are developing solutions related to discovery, ads & monetization, ranking, search, recommendations, logistics, underwriting, and more - all with the goal of helping local retail thrive.
The Data Science team owns a wide variety of algorithms and models that power the marketplace. We care about building machine learning models that help our customers thrive.
As a member of the Data Science team you’ll develop machine learning-powered ads ranking models while contributing and adding impact and personalization to our search and discovery system functions. You’ll determine answers to questions like, how relevant is this ad/product to this retailer and how can we infer that in real-time? Can we create real-time embeddings of users' interests and use them to power rankings? How can we improve the ads purchase flow? What techniques can we use to enable our A/B tests to more quickly converge when dealing with low sample sizes?
Our team already includes experienced Data Scientists and Machine Learning Engineers from Uber, Airbnb, Square, Facebook, Netflix and Pinterest. Faire will soon be known as a top destination for data scientists and machine learning, and you will help take us there!
What you’ll do

You’ll build best-in-class models to solve various problems at the intersection of Ads Modeling domain and Search and Recommendation.
You’ll be able to develop vision and execution plan for the Ads team and actively participate in the long-term roadmap as we monetize the platform.
Collaborate with Data Scientist and ML Engineers across the Data organization to implement tools for ads experimentation.
Develop key metrics for ads performance evaluation; design dashboards to track them.

Qualifications

3.5 years of industry experience in ads/ads modeling domain (ads ranking, auction design, bidding, targeting, etc.) and using machine learning to solve real-world problems
Experience with search/query processing for ads product development
Strong programming skills
An excitement and willingness to learn new tools and techniques
Lead model development without supervision
Strong communication skills and the ability to excel in a closely collaborative team environment

Great to Haves

Highly recommended: Master’s or PhD in Computer Science, Statistics, or related STEM fields
Ability to quickly implement innovative algorithms from an academic paper

Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.
Salary Range
California / New York: the pay range for this role is $173,000 - $238,000 per year.
Colorado / Washington / New Jersey: the pay range for this role is $156,000 - $214,500 per year.
Actual base pay will be based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future. This role may also be eligible for equity and benefits.


Data Scientist

Job Responsibilities:
The Data Scientist will be an integral part of the psychometric team within Cambium Assessment. The psychometric team has a proven research and statistical background and provides technical oversight on our state assessment systems.  The data scientist will support the psychometric team in developing and maintaining custom statistical software written in R.  In addition, they will drive the development of prototype software to provide proof of concept of new solutions developed by the team. Much of the work we perform is high-stakes, so the right candidate will have the skills needed to perform unit and regression testing.  We are comfortable with the position being fully remote within the US, or based out of our Washington, DC office.
Job Requirements:
B.S. in Statistics, Computer Science or a related quantitative degree and 2+ years professional software development experience or a M.S. in Computer Science or a related quantitative degreeAdvanced Experience using R is requiredExperience using PythonCapable of managing multiple priorities and meeting deadlinesExcellent analytical skillsExcellent communication skillsExceptional attention to detailsAbility to work well on a team as well as autonomously
Preferred Qualifications:
Knowledge of statistical methodsFamiliarity with educational assessment data
Why Work With Us?
When you work with Cambium Assessment, you’ll be helping to design and build inspiring solutions that make a real impact on the online testing industry, as well as the educators and students we support.
Our ground breaking work includes:
Advanced computer-adaptive algorithmsMobile support of user interfacesLearning management systems with social media featuresUniversally accessible user interfacesMachine scorable items
In the 2021–2022 school year, we delivered more than 100 million online tests, successfully supported peak testing volumes exceeding 1.3 million simultaneous test takers,  while ensuring an average response time of less than a tenth of a second. We have the most advanced features of any online testing system, and we continue to push boundaries to improve student performance measurement and enabling educators with actionable insights to drive better overall educational outcomes for our students. To learn more about our organization and the exciting work we do, visit www.cambiumassessment.com
An Equal Opportunity Employer
We are dedicated to fostering a culture that celebrates unique backgrounds, ideas, and experiences. All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, religion, sex, gender, gender identity/expression, sexual orientation, national origin, protected veteran status, or disability.


Data Scientist

About the Role:
In this role, you will analyze large amounts of raw information. 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.
Your goal will be to help our company analyze trends to make better decisions and provide our customers the data they need to meet learning objectives and growth goals for all students.
The Data Scientist will report to the Director of Data Science.
What You'll Be Doing:

Undertake preprocessing of structured and unstructured data
Analyze large amounts of information to discover trends and patterns
Build predictive models and machine-learning algorithms
Present information using data visualization techniques
Propose solutions and strategies to business challenges
Collaborate with engineering and product development teams to ensure data products are deployable

About You:

3+ years of experience as a Data Scientist and background in Machine Learning
BS in Math, Computer Science, Engineering, or relevant field; graduate degree in Data Science or another quantitative field is a plus
Experience in data mining
Knowledge of R, SQL and Python including open-source libraries in Python like scikit-learn
Experience using business intelligence tools (e.g., Tableau) and other visualization tools like Streamlit
Analytical mind and business acumen
Strong math skills (e.g., statistics, algebra)
Problem-solving aptitude
Excellent communication and presentation skills
Must be legally authorized to work in the United States

Compensation and Benefits:
Expected base salary range for this position is $82,920 – $116,990 USD annually based on several factors, including experience and geography. This position is also eligible for an annual incentive bonus or sales commission bonus, depending on the role, and benefits that are designed to support you & your family. If you are hired at DreamBox Learning, your final base salary compensation will be determined based on considerations such as geographic location, skills, responsibilities of the role, education, and/or relevant experience.  In addition to those factors, we believe in the importance of pay equity and consider the compensation of our current team members as a part of evaluating and extending any final offer.
We are proud to offer employees and their families a comprehensive benefits package:

Medical-Dental-Vision
Health Care Dependent Care
Short & Long Term Disability
Life Insurance
401(k)
FSA/HSA
Paid Time Off - Front Loaded (4 weeks)
Accrued Sick Time
DreamBox "Hero Days" Volunteer Time
Employee Assistance Program
9 Paid Holidays + Annual Winter Holiday Break (Typically the last week of December)

#BI-Remote #LI-Remote #LI-JW1


Manager Ai Ml Engineering

Join Unbounce and help shape the future of marketing.
We’re a people-first, customer-obsessed company motivated by our passion for empowering digital marketers to achieve success with their campaigns. With intuitive landing page builders and a comprehensive suite of AI-powered features, our Conversion Intelligence platform helps you grow smarter.
Our team's technical expertise and creativity work together to drive our mission forward every day. We aim to continue being an innovative and inspiring company that both our customers and employees admire—and we invite our future team members to join us!
About the role:
You will work on leading and managing the Data Products team which is responsible for the building and delivering of customer-facing ML and AI capabilities. You will ensure that the team collaborates very closely with other engineering teams and you will partner with cross-functional leaders to guide the execution of Unbounce’s AI strategy.
What you’ll be doing:
You’re a skilled Data Science leader with experience executing a strategy and leading teams. You will partner with the squad team leads, product and the VP of engineering to develop, implement and evaluate high-level strategic direction, priorities and planning that align with Unbounce’s goals and deliveriesWork with cross-functional leaders to ensure your squads have the support and data they need to deliver on initiativesInvest in and lead your team through feedback, coaching, recognition, 1:1s and performance reviews. Driving career development and growth plansOversee the day-to-day work of the squad, ensuring the process is optimal and the team is able to do their best workPartner with leadership and the P&C teams  in headcount planning and hiring
A little bit about you:
5+ years of experience as a Data Scientist/MLE applying machine learning techniques to business problemsFluency with SQL and a high level of experience with PythonSolid understanding of Statistics Strong communication skillsExperience with docker and AWS a bonusProven experience in shipping ML models or AI-backed features into productionStrong people leader who pays personal attention to the development and growth of othersCan build relationships with other leaders within the company and are able to champion your teamAble to see the bigger picture and stay up to date with major initiatives and company goalsAble to prioritize fast-moving initiatives and communications
Share our values:
CourageAmbitionBeing RealEmpathyDiversityConnectAmplifyBias for ActionGrow PeopleCreate the FutureSelf Leadership
What's in it for you:
🤝 Flexibility and time off
A digital-first, distributed working model with flexible hours – for this role, we will consider all applications from those based in Canada*, with the option to work from our Vancouver office20 vacation days Holiday Closure:  December 25th - January 1stOne paid day off on your birthdayOne paid volunteer day per year
🩺 Health and wellness
A comprehensive benefits package including medical, dental, vision, and generous mental health support options – all available on day 112 personal wellness days$500 health and wellness allowance**Parental leave and planned reintegration program
🎓 Growth
Org-wide and employee-led DEI and growth initiativesProfessional development time and budget
🌟 More perks!
One-time work-from-home allowance - $500An annual allowance of $1,000 that you can choose to use toward your vacation, or put toward your RRSP contribution**
* Please note that we currently do not have a legal entity set up to operate as an employer of record in Quebec. We thank you for your consideration but we are unable to accept candidates from Quebec at this time.** These amounts will be prorated based on your start date.
Unbounce welcomes you to be YOU!
At Unbounce, we want every employee to be excited to bring their full, authentic self to work. When you bring your unique experiences, background, knowledge, perspective, and self-expression while embracing the same from others we learn from each other. We innovate and co-create an environment where Unbouncers can do the best work of their careers. We’re bolder and more brilliant together.
We’re dedicated to ensuring each Unbouncer feels a sense of belonging, feels safe, cared for, respected and valued for who they are, and trusts that their unique voice is heard, embraced, and meaningfully contributes to decision-making. We’re committed to equitable employee experience, opportunity, pay and support for every employee regardless of gender identity or expression, race, ethnicity, family or marital status, religion, socio-economic status, veteran status, national origin, age, sexual orientation, education, disability, or any other characteristic that makes you unique.
We have no tolerance for sexism, racism, xenophobia, homophobia, transphobia, ableism, ageism, or any other forms of hateful/harmful discrimination and we’re taking action against unequal pay in our community through leading the #PayUpforProgress movement.
Please let us know if you require any accommodations or support during the recruitment process.


Data Scientist

POSITION: Data Scientist
REPORTING TO:
Data Scientist
SCHEDULE
35-hour work week, Monday through Friday
LOCATION
Flexible (Remote or a hybrid schedule in one of Candid’s offices in New York, NY; Atlanta, GA; Cleveland, OH; or Williamsburg, VA)
COMPENSATION
$100,000 - $110,000 (compensation may vary based on skills, experience, and location)
BENEFITS
Health insurance (Medical, Dental, Vision), Retirement contribution with additional option for match, Company paid Life Insurance & AD&D, Paid leave time (PTO, Bereavement, Volunteer, Holiday, Parental), Short-term and Long-term disability, Pre-tax Transit, FSA
POSITION SUMMARY
Candid (candid.org), the nation’s leading authority on philanthropy, seeks a resourceful, creative, conscientious, and detail-oriented individual to join the Candid Data Science team to work on problems in natural language processing, and at the intersection of knowledge graphs and machine learning.
RESPONSIBILITIES
Ability to develop in Python and to work with mathematical computing libraries.
Work with graph structured data and perform supervised and semi-supervised machine learning tasks to better personalize customer experiences in Candid’s products.
Apply natural language processing techniques to better understand activities in the social sector both in the United States and around the world.
Implement statistical and machine learning applications for consumption at high scale.
Performs other duties and special projects, as assigned.
Work within an Agile Development framework.
Work closely with Product Teams to understand the “definition of done”.
REQUIREMENTS
Masters degree in a quantitative research field strongly preferred, equivalent industry experience also considered.
Advanced experience with Python for data processing and analysis, including proficiency with SciPy/NumPy and NetworkX.
Demonstrated experience with machine learning tools such as Scikit-learn, TensorFlow or PyTorch.
Experience with natural language processing (NLP) and graph neural networks is strongly preferred.
Identify new problems to be explored.
Willingness to perform other duties and special projects as needed.
Professional, positive attitude.
Sensitivity and respect for racial, gender, sexual orientation, and cultural differences.
Champions and represents Candid’s core values: We’re driven, direct, accessible, curious, and inclusive.
Download theData Scientist  pdf.


Senior Data Scientist

Comscore Is A Trusted Currency For Planning Transacting And Evaluating Media Across Platforms

Per Executive Order 14042, new or prospective Comscore, Inc. employees in the United States, must provide proof of complete vaccination, or approved exemption on the first day of their employment.
The Senior Data Scientist position is part of the Television & Cross Platform Analytics team that provides internal services for building and maintaining the data science methodologies comprising Comscore’s projection system for US national television, local television, and cross platform measurement services. This position is expected to have a particularly significant role in Comscore’s measurement of Linear Television for both national and local television. In this role, the Senior Data Scientist will work closely with other members of the Television Analytics team and the Technology organization to work with large amounts of tune-level linear television data to build algorithms, tools, and custom projection solutions for precise cross-platform measurement using large-scale data sets in a fast-paced business environment. The Senior Data Scientist will investigate and diagnose potential internally- and externally-facing issues and develop hypotheses, strategies, visualizations, reports, and recommendations for various data science purposes.
Senior Data Scientist
Portland, Oregon, USA or Remote
Reports to Manager, Data Science or above
Summary:
Comscore is a media measurement company providing multiscreen reporting and analytics with cutting-edge technology to serve clients in the entertainment, media, retail, and advertising industries. Comscore's Data Science team helps design the intelligent engines that power the company's advanced media measurement systems. Through our research, Comscore builds projections that make the massive amount of raw data we take in from screens across the world meaningful and useful for our clients.
Job Function:
The Senior Data Scientist position is part of the Television & Cross Platform Analytics team that provides internal services for building and maintaining the data science methodologies comprising Comscore’s projection system for US national television, local television, and cross platform measurement services. This position is expected to have a particularly significant role in Comscore’s measurement of Linear Television for both national and local television. In this role, the Senior Data Scientist will work closely with other members of the Television Analytics team and the Technology organization to work with large amounts of tune-level linear television data to build algorithms, tools, and custom projection solutions for precise cross-platform measurement using large-scale data sets in a fast-paced business environment. The Senior Data Scientist will investigate and diagnose potential internally- and externally-facing issues and develop hypotheses, strategies, visualizations, reports, and recommendations for various data science purposes.
Duties & Responsibilities:
Utilizes software including SQL, Python/R, and UNIX/Linux as well as internal and third-party tools to generate, analyze, and deliver data driven insights.Interpret results, present findings, and recommend alternative solutions to research management and business decision makers.Responsible for the timely and error-free operation, production and delivery of syndicated product data. Ensures the integrity and validity of data for On Demand, Linear TV, Digital, and Cross Platform products.Develop analytical approaches to answer high-level questions and develop insightful recommendations.Support the research and investigation of client-reported inquiries.Collaborate with Analytics, Engineering, and Best Practices teams to meet and support business goals.Develop routine analytical methods; proactively seek out potential solutions to issues.Provide suggestions to advance and improve methodologies.Provide complex troubleshooting of analytical methods.Uses attention to detail and problem-solving skills to find and correct data problems, applying statistical methods to adjust and project results when necessary. Works across teams and functions to drive process improvement initiatives.Serves as subject matter expert on Comscore's TV methodologies.
Qualifications:
A degree in a quantitatively focused discipline (i.e., Statistics or Economics, Data/Computer Science or Engineering, Systems Engineering, Computation Finance, Operations Research, Mathematics or Physics, etc.).4-6 years of experience in the synthesis of research findings and making data-driven arguments.Expertise at querying and manipulating data in preparation for analytics or data visualization using SQL, Spark, R/Python, etc.Ability to learn complex methodologies quickly and draw on your creative problem-solving skills to achieve results.Ability to convey complex analytical approaches and findings; writing skills are essential.Intrinsic ability to look at data and identify patterns, problems, or analysis opportunities.Ability to multi-task and work with manager to prioritize efficiently to meet deadlines.Experience with Media Rating Council (MRC) is a plus.Compensation: $95,000 - $118,000; commensurate with experience
Comscore, Inc. (NASDAQ: SCOR) is a global leader in digital measurement and analytics, delivering insights on web, mobile, and TV consumer behavior that enable clients to maximize the value of their digital investments.
EOE Statement:  We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, disability status, sexual orientation, gender identity, age, genetic information, protected veteran status or any other characteristic protected by law.
About Comscore
At Comscore, we’re pioneering the future of cross-platform media measurement, arming organizations with the insights they need to make decisions with confidence. Central to this aim are our people who work together to simplify the complex on behalf of our clients & partners. Though our roles and skills are varied, we’re united by our commitment to five underlying values: Integrity, Velocity, Accountability, Teamwork, and Servant Leadership. If you’re motivated by big challenges and interested in helping some of the largest and most important media properties and brands navigate the future of media, we’d love to hear from you.
Comscore (NASDAQ: SCOR) is a trusted partner for planning, transacting and evaluating media across platforms. With a data footprint that combines digital, linear TV, over-the-top and theatrical viewership intelligence with advanced audience insights, Comscore allows media buyers and sellers to quantify their multiscreen behavior and make business decisions with confidence. A proven leader in measuring digital and set-top box audiences and advertising at scale, Comscore is the industry’s emerging, third-party source for reliable and comprehensive cross-platform measurement. To learn more about Comscore, please visit Comscore.com.
EEO Statement: We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, disability status, sexual orientation, gender identity, age, protected veteran status or any other characteristic protected by law.
To comply with federal law, Comscore participates in E-Verify. Successful candidates must pass the E-Verify process after hire.
#LI-MN1
Senior Data Scientist https://www.comscore.com/About/Careers/Job-Opportunities?sfid=654


Senior Data Scientist

Job Title:
Senior Data Scientist
Requisition ID:
R016167
Job Description:
Your Mission
The Senior Data Scientist will develop and operationalize machine learning models in order to personalize players experience in Call Of Duty franchises. This role also will focus on engineering and pipelines as well as analytics to advise business partners of our progress.
Our team has a wide range of responsibilities across Game Operations, Marketing, CRM, and Business Planning.
Some examples of other projects you may encounter: Recommender that personalizes messages of the day; mobile app display and flow; Customer Lifetime Value; Marketing models (emails and push notifications) and more.
The successful candidate will demonstrate the following skills:
Prototype-to-production engineering skills in Python or Java, including standard methodologies such as source control, accurate documentation, library packaging, versioning, testing, containerization, CI/CD, and task schedulingSophisticated analytics and SQL skillsMachine learning expertise, i.e. regression, classification, and clustering algorithms. Time-series analysis, Bayesian methods, and survival analysis. Deep Learning experience a plus.Ability to understand and implement parameterized models from publications (i.e. Conference Proceedings in ML and Journals in Econometrics).Professional habits around model validation, testing, and trackingSolid knowledge of statistics, e.g. statistical power analysis, significance testing, t-tests, ANOVAEngineering experience in at least one cloud platform such as AWS, GCP, or AzureExposure to stream processing infrastructure such as Kafka a plusData engineering skills to facilitate data movement, ETL, and analysis
Player Profile
Minimum Requirements:
Masters in a quantitative science with heavy focus on data-driven modeling, e.g. Physics, Mathematics, Operations Research, etc.; or Bachelors + 2 years proven experience. Intermediate level depends on additional experience.Must be a tenacious and self-catalyzing problem solver. You don’t settle for good enough. Must be able to synthesize disparate data, detect and work around broken data, and investigate every possibility until you are confident you have and understand a detailed solutionProcess-oriented driving toward visibility, accountability, and communicationTeam-oriented, ability to build long-lasting and collaborative relationships optimally. You work selflessly and enthusiastically, serving as a positive catalyst for collaborative solutioningYou contribute to the expertise in every data and analytic conversation as well as you listen with openness to other’s expertiseA passion for analytics and diving into as well as experiencing the products on which you work (video game enthusiasm with a solid understanding of the connection of gameplay to spending behavior is a plus)Ability to adapt quickly, high tolerance for ambiguity, and ability to coordinate on a team
Your Platform
We’re headquartered in Santa Monica, California, housing multiple teams across many fields of Marketing, PR, Sales, Supply Chain and other corporate functions such as HR, IT, Legal, Facilities and Finance. Santa Monica is the nerve center of our company, where the best ideas combine with outstanding rigor to build the biggest and best entertainment experiences in the world.
Our World
Great Games Start with Great People! This is an exciting time to join us!
Activision has been changing the way people play for the past 40 years—as the leading developer and publisher of video games, our teams have built some of the world's biggest, most ground-breaking, and beloved entertainment franchises in the industry. Ask anyone who works at Activision what their favorite thing about it is, and they’ll tell you it’s the people. We have world class brands, infrastructure, and resources, but our success comes from people producing greatness together. We are nothing without our employee’s brilliance.
Activision is more than just the leading developer and publisher of video games; we are the creators of some of the world’s biggest, most ground-breaking titles in the industry. Our current portfolio includes Call of Duty®, Skylanders®, and Crash Bandicoot™.
Activision Blizzard (NASDAQ: ATVI), headquartered in Santa Monica, California with locations across the globe, is one of the largest and most successful interactive entertainment companies in the world. Sitting at the intersection of media, technology, and entertainment, our employees are some of the best and brightest across engineering, entertainment, media, and technology. A member of the S&P 500 Activision Blizzard is proud to be included as one of FORTUNE's "100 Best Companies To Work For®," "World's Best Employers," as well as "Most Admired Companies." In 2019 we were honored to receive a perfect score on our entry to the Corporate Equality Index as a Best Workplace for LGBTQ professionals and once again made Fast Company's World's Most Innovative Companies in Gaming.
The video game industry and therefore our business is fast-paced and will continue to evolve. As such, the duties and responsibilities of this role may be changed as advised by the Company at any time to promote and support our business and relationships with industry partners.
Activision is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, protected veteran status, or any other basis protected by applicable law, and will not be discriminated against on the basis of disability.
Rewards
We provide a suite of benefits that promote physical, emotional and financial well-being for ‘Every World’ - we’ve got our employees covered!  Subject to eligibility requirements, the Company offers comprehensive benefits including:
Medical, dental, vision, health savings account or health reimbursement account, healthcare spending accounts, dependent care spending accounts, life and AD&D insurance, disability insurance;401(k) with Company match, tuition reimbursement, charitable donation matching;Paid holidays and vacation, paid sick time, floating holidays, compassion and bereavement leaves, parental leave;Mental health & wellbeing programs, fitness programs, free and discounted games, and a variety of other voluntary benefit programs like supplemental life & disability, legal service, ID protection, rental insurance, and others;If the Company requires that you move geographic locations for the job, then you may also be eligible for relocation assistance.
Eligibility to participate in these benefits may vary for part time and temporary full-time employees and interns with the Company.  You can learn more by visiting https://www.benefitsforeveryworld.com/.
In the U.S., the standard base pay range for this role is $92,920.00 - $171,814.00 Annual. This base pay range is for the U.S. and is not applicable to locations outside of the U.S. Actual amounts will vary depending on experience, performance and location. In addition to a competitive base pay, employees in this role may be eligible for incentive compensation. Incentive compensation is not guaranteed.


Sr Data Scientist Measurement

Job Title: Sr. Data Scientist - Measurement
Location: Remote - US Only
About InMarket
Since 2010 InMarket has been a leader in 360-degree consumer intelligence and real-time marketing for thousands of major brands. Through InMarket's data-driven marketing platform, brands can build targeted audiences, activate in real-time, and measure success in driving sales.
InMarket holds more than 25 patents across location, attribution and digital marketing, and its GeoLink marketing platform was awarded Product of the Year' at the 2022 Sales and Marketing Technology Awards and best Location Platform at the 2022 Digiday Technology Awards. InMarket ranked ranked #300 on the 2022 Deloitte Technology Fast 500™ list after growing 483% over the last 3 years.
About the Role
Data science is a core driver of InMarket’s product design and innovation. As a Sr. Data Science team member, you will have the opportunity to leverage cutting-edge machine learning on petabytes of data in ways that make a large and lasting impact on the company. We take on greenfield projects and launch entirely new products giving you the opportunity to take large amounts of ownership and shape our technology stack.

Your role is to conceptualize, develop and deploy the core machine learning solutions that power our industry-leading advertising measurement products. These solutions will be intelligent, adaptive, operate at scale, and be based on modern causal inference and marketing statistical methods. You will collaborate closely with data analysts, account managers, product teams and engineering to understand our business and rapidly iterate on solutions that maximize ROI.
  Your daily Impact as Data Scientist

Work with senior team members and product stakeholders to develop prototypes and take early-stage ideas through to production
Take ownership of core advertising measurement products to expand our capabilities and push our performance boundaries
Explore our data and systems, prototype ideas, run experiments to validate them and propose new products or advancements
Collaborate closely with our engineering and product teams to expand our causal inference based measurement platform

Your Experience & Expertise

Bachelors in Statistics, Computer Science, Economics, Operations Research, or similar quantitative field (graduate degree preferred)
Solid understanding of modern data science and machine learning theory and methods
At least 3 years of experience with applying modern statistical marketing models, Bayesian statistics, and causal inference to solve complex, data-driven problems
Programming proficiency (preferably Python, its data science stack, and SQL) and desire to write production code
Excellent communication skills and the ability to present methodologies and findings to audiences with varying technical backgrounds

Nice to Haves

Experience working in modern cloud infrastructure environments like AWS and GCP is a big plus
Familiarity with the digital media / advertising industry is a big plus.

Compensation & Benefits Summary

Competitive salary, stock options, flexible vacation
Medical, dental and Flexible Spending Account (FSA)
Company Matched 401(k)
Unlimited PTO (Within reason)
Talented co-workers and management
Agile Development Program (For continued learning/professional development)
Paid Paternity & Maternity Leave

For candidates in California, Colorado, and New York City, the Targeted Base Salary Range for this role is $168,500 to $271,000.
Actual salaries will vary depending on factors including but not limited to work experience, specialized skills and training, performance in role, business needs, and job requirements. Base salary is subject to change and may be modified in the future. Base salary is just one component of InMarket’s total rewards package that also may include bonus, equity, and benefits.  Ask your recruiter for more information!
InMarket is an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, disability, or veteran status.
Privacy Notice for California Job Applicants: https://inmarket.com/ca-notice-for-job-applicants/


Data Scientist

Job Family:Data Science & Analysis (Digital)Travel Required:NoneClearance Required:NoneWhat You Will Do:
Participate in project meetings with subject matter experts and stakeholders to understand data specific needs.
Analyze legacy data systems, entity relationships and system interfaces to detect data patterns, anomalies, and trends to develop business requirements.
Develop algorithms, scripts, predictive analytics; use the right combination of tools and frameworks to turn disparate data sets into comprehensive information.
Build and implement predictive models using different multiple machine learning (ML), robotic processing automation (RPA) and natural language processing (NLP) algorithms (linear and logistic regression, time series forecasting, decision trees, survivability analysis, etc.), to develop artificial intelligence (AI) workflows.
Develop and generate data queries for data extractions and or transformations.
Analyze and develop data conversion/migration mapping logic.
Assist with query optimization and troubleshooting of database related issues. Work closely with DBA and Development teams to optimized SQL code.
Create & maintain technical documentation including analytical design and approaches diagrams, data transformations, data migration mapping and data summations.
Participate in team agile tasks and sessions such as unit testing, story estimation, sprint planning and retrospectives.
Generate data views and reports to support end users visualize results and conduct self-directed analysis; leverage presentation expertise, to present complex information to non-technical audiences.
What You Will Need:
BA/BS Degree
1 year of relevant experience
Programming, creating, and modifying SQL queries.
Experience with data mining, optimization, statistics, and graph-based algorithms.
Experience with data manipulation and scripting
Experience with translating design mockups to develop rich report visualizations.
Extract, examine, clean and transform Data in order to facilitate data analysis.
Perform all elements of data analysis including: using SQL to query and join large datasets, cleaning and structuring data for analysis, analyzing data to find patterns and trends, and visualizing and communicating data to relevant stakeholders.
Ability to create process improvements and realize efficiencies.
Strong communication (verbal and written) and listening skills.
U.S. Citizen or Green card is required for the position.
Candidate must successfully pass a Federal Background Investigation.
What Would Be Nice To Have:
Knowledge of R and Python a plus.
Knowledge of AWS
Familiarity with GitHub and Docker tools
The annual salary range for this position is $54,200.00-$81,300.00.  Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.What We Offer:Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.Benefits include:
Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Parental Leave
401(k) Retirement Plan
Group Term Life and Travel Assistance
Voluntary Life and AD&D Insurance
Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
Transit and Parking Commuter Benefits
Short-Term & Long-Term Disability
Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Care.com annual membership
Employee Assistance Program
Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
Position may be eligible for a discretionary variable incentive bonus
About GuidehouseGuidehouse is an Equal Employment Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, citizenship status, military status, protected veteran status, religion, creed, physical or mental disability, medical condition, marital status, sex, sexual orientation, gender, gender identity or expression, age, genetic information, or any other basis protected by law, ordinance, or regulation.Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.


Data Scientist Analyst

Job Family:Data Science ConsultingTravel Required:NoneClearance Required:NoneWhat You Will Do:Our consultants on the Advanced Analytics & Intelligent Automation team help clients maximize the value of their data and automate business processes. This high performing team works with clients to implement the full spectrum of data analytics and data science, from data engineering, querying, and data wrangling to data visualization, dashboarding, and business intelligence, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA). Our services enable our clients to define their information strategy, enable mission critical insights and data-driven decision making, reduce cost and complexity, increase trust, and improve operational effectiveness.- Belong to a collaborative team dedicated to Advanced Analytics and Intelligent Automation.- Focus on client services, while also supporting business development, internal firm initiatives, and ongoing professional development in data science and data analytics.- Work as a data scientist and data analyst in collaboration with cross-functional teams.- Continue career development in data analytics software, methods, and consulting.What You Will Need:
U.S. citizenship and ability to obtain a Public Trust clearance.
B.S. or B.A. in a relevant quantitative and computational discipline.
3+ years of relevant professional experience.
Ability to analyze large and complex datasets (structured and unstructured), with a strong aptitude for conducting quantitative and qualitative analysis.
Proficiency querying data using SQL.
Proficiency in performing data wrangling, data manipulation, statistical analysis, and predictive modeling using Python or R.
Proficiency in developing data visualizations and dashboards using Power BI.
Experience with software design and development.
Knowledge of coding languages (e.g., C++, Java, JavaScript) and frameworks/systems (e.g., AngularJS, Git).
Experience with and knowledge of databases and database concepts.
Ability to learn new languages and technologies.
Resourcefulness, creativity, ability to troubleshoot, and attention to detail.
Familiarity with Agile (SAFe/Scrum) development methodologies.
Strong communication and presentation skills and ability to explain technical topics to non-technical audiences.
Strong consulting skills: identifying and addressing client needs, building relationships, creative problem-solving, driving initiatives forward.
What Would Be Nice To Have:
Active Secret or Top-Secret clearance.
M.S. / M.A. in a relevant quantitative and computational discipline.
10+ years of relevant professional experience.
Knowledge of Object-Relational Mapping (ORM) frameworks (e.g., Hibernate).
Ability to support business development including RFP, RFQ, and RFI responses and white papers.
The annual salary range for this position is $86,100.00-$172,300.00.  Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.What We Offer:Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.Benefits include:
Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Position may be eligible for a discretionary variable incentive bonus
Parental Leave and Adoption Assistance
401(k) Retirement Plan
Basic Life & Supplemental Life
Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
Short-Term & Long-Term Disability
Student Loan PayDown
Tuition Reimbursement, Personal Development & Learning Opportunities
Skills Development & Certifications
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Emergency Back-Up Childcare Program
Mobility Stipend
About GuidehouseGuidehouse is an Equal Employment Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, citizenship status, military status, protected veteran status, religion, creed, physical or mental disability, medical condition, marital status, sex, sexual orientation, gender, gender identity or expression, age, genetic information, or any other basis protected by law, ordinance, or regulation.Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.


Ai Ml Health Data Scientist Senior Consultant

Job Family:Data Science ConsultingTravel Required:Up to 25%Clearance Required:Active Public TrustWhat You Will Do:Our consultants on the Advanced Analytics & Intelligent Automation team help clients maximize the value of their data and automate business processes. This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and data wrangling, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA). Our services enable our clients to define their information strategy, enable mission critical insights and data-driven decision making, reduce cost and complexity, increase trust, and improve operational effectiveness.Our consultants focus on client services, while also supporting business development, internal firm initiatives, and ongoing professional development.What You Will Need:Security clearance:  Ability to obtain a Public Trust clearance Minimum years of relevant experience:  3 Education:  B.S./B.A. in Statistics, Mathematics, Operations Research, Computer Science, Information Systems, Engineering, Economics, Data Science, Data Analytics, or similar quantitative discipline.Experience working with analytical models, methods, applications, and tools, such as:
Statistical analysis, predictive modelling, simulation, machine learning, and artificial intelligence
Selecting and applying the appropriate analytical techniques
Analytics for business, operations, human capital, or financial management
Analyzing large and complex data sets, with strong aptitude for conducting quantitative and qualitative analysis
Proficiency in an analytics programming language, such as R, Python, or SAS
Visualization skills with tools such Tableau, Power BI, or R Shiny
What Would Be Nice To Have:Desired Experience: Education:  M.S./M.A. in Statistics, Mathematics, Operations Research, Computer Science, Information Systems, Engineering, Economics, Data Science, Data Analytics, or similar quantitative discipline. Skills and/or proven success in the following:
Contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building strong, collaborative relationships with team members
Collaborating and working in a team environment, as well as the ability to work independently
Communicating effectively to various audiences, including various levels of management and external clients, in a professional environment
Identifying and addressing client needs, building relationships with clients, demonstrating flexibility in prioritizing and completing tasks, communicating potential conflicts to a supervisor
Business development including RFP/RFQ responses, developing white papers/concept papers, and building and demonstrating prototype solutions to customers
Knowledge of defense, national security, financial, healthcare, international development, or state and local government environment
The annual salary range for this position is $74,900.00-$149,800.00.  Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.What We Offer:Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.Benefits include:
Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Position may be eligible for a discretionary variable incentive bonus
Parental Leave and Adoption Assistance
401(k) Retirement Plan
Basic Life & Supplemental Life
Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
Short-Term & Long-Term Disability
Student Loan PayDown
Tuition Reimbursement, Personal Development & Learning Opportunities
Skills Development & Certifications
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Emergency Back-Up Childcare Program
Mobility Stipend
About GuidehouseGuidehouse is an Equal Employment Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, citizenship status, military status, protected veteran status, religion, creed, physical or mental disability, medical condition, marital status, sex, sexual orientation, gender, gender identity or expression, age, genetic information, or any other basis protected by law, ordinance, or regulation.Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.


Ai Ml Health Data Scientist Consultant

Job Family:Data Science ConsultingTravel Required:Up to 25%Clearance Required:Ability to Obtain Public TrustWhat You Will Do:Our consultants on the Advanced Analytics & Intelligent Automation team help clients maximize the value of their data and automate business processes. This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and data wrangling, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA). Our services enable our clients to define their information strategy, enable mission critical insights and data-driven decision making, reduce cost and complexity, increase trust, and improve operational effectiveness.Our consultants focus on client services, while also supporting business development, internal firm initiatives, and ongoing professional development. The Health Insurance Claims Analytics Senior Consultant focuses specifically on applying healthcare administrative data, such as claims, to address our clients’ challenges across the healthcare sector, including public health, payer, provider, and the pharmaceutical/life sciences industry.What You Will Need:Security clearance:  Ability to obtain a Public Trust clearance Minimum years of relevant experience:  1-3 Education:  B.S./B.A. in Statistics, Mathematics, Operations Research, Computer Science, Information Systems, Engineering, Economics, Data Science, Data Analytics, or similar quantitative discipline. Experience working with analytical models, methods, applications, and tools, such as:
Proficiency in Geographic Information Systems (GIS) and working with spatial datasets
Statistical analysis, hypothesis testing, predictive modelling, simulation
Selecting and applying the appropriate analytical techniques
Analyzing large and complex data sets, with strong aptitude for conducting quantitative and qualitative analysis
Proficiency in ArcGIS or QGIS
Basic proficiency in an analytics programming language, such as R, Python, or SAS
Visualization skills with tools such as Tableau, Power BI, or R Shiny
 Skills/capabilities/knowledge applying advanced analytical approaches to health insurance claims data, such as :
Statistical analysis, predictive modelling, simulation, and machine learning
Selecting and applying the appropriate analytical techniques
Health economics, quality, cost, and outcomes measurement
Analyzing large and complex claims data sets, with strong aptitude for conducting quantitative and qualitative analysis
Proficiency with SAS and SQL
What Would Be Nice To Have:Education:  M.S./M.A. in Statistics, Mathematics, Computer Science, Economics, Business, Healthcare Administration, Public Health, Data Science, Data Analytics, or similar discipline. Skills and/or proven success in the following:
Contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building strong, collaborative relationships with team members
Collaborating and working in a team environment, as well as the ability to work independently
Communicating effectively to various audiences, including various levels of management and external clients, in a professional environment
Identifying and addressing client needs, building relationships with clients, demonstrating flexibility in prioritizing and completing tasks, communicating potential conflicts to a supervisor
Business development including RFP/RFQ responses, developing white papers/concept papers, and building and demonstrating prototype solutions to customers
Knowledge of the healthcare sector, including such domains as public health, payer, provider, and pharmaceutical/life sciences.
The annual salary range for this position is $63,200.00-$113,800.00.  Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.What We Offer:Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.Benefits include:
Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Position may be eligible for a discretionary variable incentive bonus
Parental Leave and Adoption Assistance
401(k) Retirement Plan
Basic Life & Supplemental Life
Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
Short-Term & Long-Term Disability
Student Loan PayDown
Tuition Reimbursement, Personal Development & Learning Opportunities
Skills Development & Certifications
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Emergency Back-Up Childcare Program
Mobility Stipend
About GuidehouseGuidehouse is an Equal Employment Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, citizenship status, military status, protected veteran status, religion, creed, physical or mental disability, medical condition, marital status, sex, sexual orientation, gender, gender identity or expression, age, genetic information, or any other basis protected by law, ordinance, or regulation.Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.


Data Scientist I Product Analytics

Hi, we're Oscar. We're hiring a Data Scientist I to join our Product Analytics team.
Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.
About the role:
+Oscar is Oscar’s software platform and Campaign Builder is a tool that providers, payers, and partners use to engage with their members and customers. The Data Scientist I, Product Analytics will play a critical role in developing the data pipeline management and reporting infrastructure for +Oscar Campaign Builder clients. Additionally, they’ll partner with the Customer Success function to conduct outcomes analytics and reporting based on client needs and interest.
Campaign Builder is an engagement and automation platform that enables scalable, personalized interventions and automates workflows to drive growth, manage risk, and optimize admin operations. Built for non-technical users, risk bearing entities can use the tool to build “campaigns” that deliver interventions with multiple touch points over time to drive behavior change. The solution has been a key differentiator for +Oscar clients and we’re excited about bringing the technology to more users nationwide.
You will report into an Associate Director of Data Science. This is a remote / work-from-home role. You must reside in one of the following states: Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Iowa, Maryland, Massachusetts, Michigan, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, Tennessee, Texas, Utah, Virginia, Washington, or Washington, D.C. Note, this list of states is subject to change. #LI-Remote
The potential base pay for this role is: $115,360-$151,410 per year. You are also eligible for employee benefits, company equity grants and annual performance bonuses.
Applicants must be currently authorized to work in the United States on a full-time basis. Oscar will not sponsor applicants for this role.
Responsibilities:
Help establish and maintain strategic +Oscar Modular Solutions roadmap for the Data team
Work with key stakeholders to strategize, implement, and manage the productization of data science models related to Campaign Builder
Assist with the evaluation of the financial impact of campaigns with both external and internal audiences
Requirements gathering for data pipeline management and reporting infrastructure build out and enhancement; includes obtaining regular stakeholder and end-user input
Help establish success metrics for projects and work with business to track and communicate metrics through dashboards and metrics
Requirements:
A bachelor's degree and 2+ years of relevant work experience OR a master’s degree in a quantitative field and 1+ years of relevant work experience
Experience working with and building data models using common tools like Python or SQL
Experience with product analytics
Experience managing projects and partners across the organization with the ability to visualize a process, identify and resolve bottlenecks
Bonus Points:

Knowledge of or previous work experience in health care, health economics, or health insurance

This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here.
At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives..
Pay Transparency:
Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience.
Full-time employees are eligible for benefits including: medical, dental, and vision benefits, paid holidays, paid vacation and sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.
Reasonable Accommodation:
Oscar applicants are considered solely based on their qualifications, without regard to applicant’s disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.
To protect the health and safety of our employees, we require any employee conducting in-person work* to be fully vaccinated against COVID-19 by their start date. If you are unable to be vaccinated due to medical or protected religious reasons, please reach out to our Benefits team at accommodations@hioscar.com to submit an accommodations request.
*Note: In-person work includes: employees required to work from our offices, employees conducting sales work in the field and employees conducting at-home or in-person visits with members.


Sr Data Scientist Business Operations

Role Summary:
As a Data Scientist within the Service Business Operations team, you will be reporting to the Manager of Data Science and Engineering. The Service Business Operations team works across the organization to use data to inform and aid in the strategic planning and operational decisions of how we allocate resources to support Rivian in its growth. As an early member of a growing team, this role will have an impact on the direction and evolution of the data science practice and technical approaches. As a Data Scientist, you will partner cross functionally to understand data and key business questions, combining disparate data sets to support how we forecast, estimate, and scenario plan. This role will have an opportunity to lead both how we model and visualize data for strategic and tactical Service business decisions.

Responsibilities

As a Data Scientist, you will partner with Data Engineers and Analysts to support the creation, presentation, and interpretation of data using visualization, statistics, and/or machine learning
Collaborate with cross functional organizations to deliver end to end solutions including gathering and understanding the business need, exploring data, building and validating models, and deploying of models
Design and develop algorithmic approaches to support the Service Business Operations team in forecasting and estimating the allocation of resources
Lead the design of the Service Business Operations modeling and simulation framework, while closely collaborating with Data Engineers, to define the architecture to solve a multi-faceted modeling problem
Code that meets standards for style, maintainability, reusability, and automation using tools such as Python, R, Matlab, AWS, and/or SQL
Continuously seeking opportunities for improvement, focusing on using sound quantitative approaches in statistics or mathematics to improve how we ask questions, how we answer those questions, and how we use data to create business impact

Qualifications

3+ years of professional experience in analytics, data science, machine learning, and statistical modeling using Python or other language or tools like R, Matlab, AWS, and SQL
Masters or PhD in a quantitative discipline (including but not limited to Statistics, Physics, Mathematics, Optimization, or Computer Science)
Proven professional experience working through an environment of ambiguity with the ability to self-prioritize responsibilities and requests from multiple cross functional partners
Strong analytical and organizational skills with strong attention to detail and quality
Thorough and detailed analytical and organizational skill to develop end to end data querying, aggregation, analysis, and visualization
Professional experience supporting Business Operations to estimate resource allocations using advanced statistics, forecasting, sampling, regression, time-series, optimization, or Monte Carlo
Ability to sit for 8-12 hours per day
Travel requirements <10%
Required to communicate using phone and e-mail

Salary Range/Hourly Rate for California, Colorado, and Ithaca, NY Based Applicants: $144,000 to $188,000 (actual compensation will be determined based on experience, location, and other factors permitted by law).
Benefits Summary: Rivian provides robust medical/Rx, dental and vision insurance packages for full-time employees, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment, and Rivian covers most of the premiums.
#LI-Remote


Senior Data Scientist Ads Optimization Ml

Location: US remote-friendly
Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly and will continue to be after the pandemic.
We are looking for a Senior level Machine Learning Data Scientist to build new ML products to improve ad performance and advertiser ROI. You will work closely with engineers and product managers from the Advertiser Optimization team to up-level the current Budget Pacing system, build ML-based auto-bidding products, as well as develop reinforcement learning models for dynamic creative optimization (Ad Level Optimization). This person is an industry technical leader in the online ads marketplace optimization domain with a solid technical background, strong business acumen, and excellent cross-functional stakeholders management skills.
Responsibilities:

You will dive deep into the Budget Pacing system and help the team identify efficiency gaps and areas for improvement. You will research and develop ML-based PID controllers and auto-bidding products to improve advertisers’ performance.
Research, design, and develop contextual bandit models or similar reinforcement learning techniques for dynamic creative optimization (DCO) that can improve ad performance and bring more value to advertisers, especially for Shopping Ads.
Be involved in all phases of modeling such as ideation, offline modeling, online implementation, experimentation, deploy and post-launch monitoring/measurements.
This role will have a lot of overlap with other Machine Learning Engineer roles, but will differ in a couple of areas. First is that you will work mainly on offline modeling and rely on engineers to productionize your models. Secondly, you will have a keen interest in the collection and quality of underlying data (experiment design and analysis, data deep dive), along with working on ETLs and data aggregations needed for training, testing and productionizing models.
Serve as a thought-partner for product managers, engineers, leadership in shaping the monetization roadmap and strategy for Reddit by identifying opportunities through deep-dive analyses and/or modeling.

Required Qualifications:

Relevant experiences in ads marketplace.
Ph.D., M.S. or Bachelors degree in Statistics, Machine Learning, Operations Research, or other quantitative fields (If M.S. degree, a minimum of 1+ years of industry data science experience required and if Bachelor’s degree, a minimum of 2+ years of industry data science experience).
Proficiency in at least one of the areas: operations research, operations management, control theory, reinforcement learning, statistical modeling, and optimization.
Deep understanding of online experimentation and causal inference.
Strong analytical and communication skills.
Strong skills in programming (Python or R) and SQL.

Benefits:

Comprehensive Health benefits
401k Matching
Workspace benefits for your home office
Personal & Professional development funds
Family Planning Support
Flexible Vacation & Reddit Global Days Off
4+ months paid Parental Leave
Paid Volunteer time off

Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base pay range for this position is: $183,000 - $275,300
#LI-Remote #LI-NH1


Data Scientist Nlp

JOIN OUR TEAM
Everstream Analytics is looking for a Data Scientist to join our Data Science team. This position will be a key member of the Everstream Data Science Team. As a member of Data Science, you will join a dynamic team of people focused on our next generation product. We have an exciting opportunity to help shape how we use data to build models and generate actionable insights to give our customers a risk aware supply chain which will advance outcomes for the business and the industry. This role will partner closely with Product Development, Product Management, Risk Intelligence, and Marketing.
POSITION OVERVIEW
In this role, your focus will be to develop Natural Language Processing (NLP) and Natural Language Understanding (NLU) models, algorithms, simulations, and experiments that bridge operational needs with strategic vision. In addition, you will be responsible for identifying, collecting, and validating data sets that are both open source (via web scraping) and proprietary. You will learn current processes, build data backed solutions, automate solutions, launch your work to production, and audit implementation.  In the simplest terms, we want candidates who have experience building models to solve real industry problems that have been deployed in a real production software environment and where the model performance was really important.
Principal Accountabilities

Initiate the efficient implementation of methods, tools, and algorithms for preliminary data exploration, data visualization and preparation, model training, and algorithm validation and verification using a comprehensive range of software packages and programming languages
Identify, retrieve, manipulate, relate and/or exploit multiple structured data and unstructured data sets from various sources
Interpret and evaluate the results of data science community's methods and models and/or algorithms, understanding the limitation and scope of the results
Respond to difficult data science-related challenges in a timely manner while effectively balancing competing priorities
Present information and results of analysis using data visualization techniques

Basic Qualifications

Bachelor of Science in Computer Science, Statistics, Mathematics, Physics, Engineering or a related field. Advanced degree is preferred. Equivalent work experience is also acceptable.
3+ years’ experience in building and delivering predictive analytics models using advanced machine learning algorithms and techniques such as: classification, outlier detection, clustering, boosting, and neural networks.
Good scripting and programming skills with experience using Python and other packages for data analysis
Practical knowledge in applying NLP and NLU concepts such as Topic Modelling, Topic Classification, Named Entity Recognition
Experience with analytical development tools including libraries such as Pandas, NumPy, Scikit-learn, PyTorch, and Spacy.
Self-starter with a curious attitude and a willingness to learn and master new technologies.
Ability to act easily in a global environment, with understanding of cultural differences and behavior.
English: both oral and written proficiency, with ability to clearly communicate technical results to both technical and non-technical audiences

Desired skills

Experience with web scraping techniques and tools
Familiarity with knowledge graphs and entity resolution
Experience with more recent NLP techniques, such as Transformers or Hugging Face models
Proficiency in using query languages such as SQL, Hive, and Pig with experience in a Big Data environment.
Experience developing applications in AWS.

Applicants must be currently authorized to work in the United States on a full-time basis.LI-AB1


Solutions Consultant Data Science

JOIN OUR TEAM
Everstream Analytics is looking for a customer-focused Solutions Consultant to join our Data Science( (DS) team, providing supplier sub-tier insights to some of the world’s most reputable companies. This position will be a key member of the Everstream DS Discover Team.  As a member of Discover, you will join a dynamic team of people focused on our next generation product. We have an exciting opportunity to help shape how we use data to build models and generate actionable insights to give our customers a risk aware supply chain which will advance outcomes for the business and the industry. This role will partner closely with Product Development, Customer Success, Product Management, Risk Intelligence, and Marketing.
POSITION OVERVIEW
In this customer facing role, you will focus on the creation and presentation of results from the application of Data Science. These results will revolve around the identification of risk in the supply chain and the communication of potential impact and mitigation strategies with customers. It will require gaining an understanding of our data sources and the techniques we apply to identify supply chain risk. You will work with customers to understand their “pain points” and explain the relevance of our solution to their operations. You will be working closely with data science and the customer success team on the implementation of data products. This is an exciting opportunity to help shape how we use data to build models and generate actionable insights to give our customers a risk aware supply chain which will advance outcomes for the business and the industry
Principal Accountabilities

Exploratory Data Analysis - conducting exploratory analysis to extract insights and expose important groups, trends, and relationships in data
Analysis and Reporting – evaluating business questions, what if scenarios, and summarizing conclusions to stakeholders
Research company relationships, in particular supplier relationships in collaboration with a cross-function industry team involving Intelligence Solutions, Data Science, Customer Success, Sales, etc.
Analyze the flow of goods between companies, in particular in the upstream supply chain.
Engage with customers on the research through presentations and discussions to build out and validate our industry knowledge of sub-tier supply chains.
Presenting information and results of analysis using PowerPoint, BI Tools and other data visualization techniques

Basic Qualifications

Bachelor’s Degree in Business Administration, Economics, Engineering or a related field. Equivalent work experience is also acceptable.
At least 5 years of experience in data analysis, operations, supply chain, production, or sourcing and procurement.
Proficiency in data analysis and reporting tools and techniques
Self-starter with a curious attitude and a willingness to learn and master new technologies.
Ability to act easily in a global environment, with understanding of cultural differences and behavior.
English: both oral and written proficiency, with ability to clearly communicate technical results to both technical and non-technical audiences

Preferred Qualifications

Experience in one of the following industries: Medical Devices, Pharmaceuticals, Automotive, Chemicals, Food and Beverage, or High-tech
Basic knowledge of commodity groups and raw materials such as metals, plastics, or chemical feedstocks.
Experience in a supply chain role with an understanding of sub-tier supplier networks and the flow of materials and goods.

Applicants must be currently authorized to work in the United States on a full-time basis.LI-AB1


Senior Data Scientist

The Job
Tango Card is hiring our first ever Senior Data Scientist, to join our innovative Business Intelligence and Analytics team. This human will focus on answering foundational questions, driving strategy, and enabling data-driven decision making across Tango Card. With a robust functional and technical understanding of data science and advanced analytics techniques, they will develop predictive models, perform sophisticated analyses, and unearth scalable insights to unlock the next tier of value within our data for teams across Tango Card.
As part of a growing Business Intelligence & Analytics team, this is a high-impact role that will build the foundation for data science in pursuit of our mission to uncover the big picture, break down silos, and ask questions to provide the right solution – and continue building upon it in an agile environment. If you are passionate about advanced analytics and data science, who shares our vision for a consumer model to democratize data and empower analytics across the organization while working with a best-of-breed tech stack to implement and deliver. If you get excited about seeing your technical skills have a direct impact on business value, join us!

Reports To: Sr. Director, Business Intelligence & Analytics
As our Senior Data Scientist at Tango Card, you will:

Drive the design, development, and maintenance of analytical models to surface practical insights for proactive decision-making, ranging from product feature experimentation to customer lifetime value forecasting to fraud detection, etc.
Collaborate with business owners to understand short and long-term goals and scope technical requirements to meet business needs
Work alongside Enterprise Data Architecture team members to ensure data is collected, cleansed, and transformed to efficiently bring your algorithms to life
Establish and develop experimentation frameworks to cultivate clear, easy to understand statistical outputs that will drive iterative process improvement
Present data and solutions optimally across geographically dispersed teams from a diverse set of technical backgrounds, including leadership and executive teams
Complete assigned tickets including functional/technical development, testing, review, UAT, and deployment while communicating progress and blockers
Promote standard methodologies and help guide the broader team toward continuous improvement
Understand data science/ML trends and the practical application of existing and emerging technologies to enable new and evolving business needs
Recommend appropriate tools or technologies to leverage across advanced analytics use cases
Communicate complex solutions clearly and effectively to all levels of the organization
Strategically partner with Product to inform feature development, demonstrating what will drive business value

To be effective in our Senior Data Scientist role, you must have:

7+ years of proven combined experience in data science, advanced analytics, or related fields
Technically proficient in a scripting language (Python or R preferred), SQL, and data visualization (Tableau preferred)
Proven expertise in advanced analytics and data science techniques, including building, testing, and deploying predictive models
Comfortable running the full lifecycle of a data science project, from capturing requirements and articulating the use case, through data preparation, analysis, and recommendations
Skilled at solving ambiguous challenges and thinking both forward and proactively when designing analytic solutions to move problems forward
Ability to maintain exemplary communication and a customer-focused approach while working across multiple projects
A willingness to collaborate, adopt change, and apply entrepreneurial approaches to analytic solutions

Our ideal Senior Data Scientist at Tango Card will have most of the following skills and experience:

Advanced (Master's / PhD) degree in a quantitative field (Data Science / Statistics preferred)
Experience standing up data science and advanced analytics solutions from scratch
Experience with transactional datasets and leading projects that span the fields of data science and data engineering
Experience using cloud computing environments (direct experience with Snowflake and AWS, a plus)
Demonstrated experience in business strategy and delivering value to business collaborators
Understanding of product development and how to influence via data analysis
Awareness of Machine Learning and its applicable use cases, a plus
Ability to prioritize challenging tasks, think independently, and take initiative
Unparalleled communication skills with all levels of business and a customer service approach

Please note: visa sponsorship is not available for this position.
Salary: The targeted pay range for this position is between $148,000 - $170,000. Please note that the actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, and experience. Certain positions are eligible for additional forms of compensation such as bonus.

#Li-DNI #Li-Remote #BI-Remote