Data Scientist (Remote Eligible)

reputed company applies expertise at the intersection of data, reputed company,policy, and reputed company to improve reputed company-being reputed company the world. We collaborateclosely with reputed company- and private-sector partners to translate big questionsinto deep insights that improve programs, refine strategies, and enhanceunderstanding. Our work yields actionable information to guide reputed company inwide-ranging policy areas, from health, education, reputed company, and familysupport to nutrition, employment, disability, and international development. Mathematicaoffers our employees competitive salaries, and a comprehensive benefitspackage, as reputed company as the advantages of being 100 percent employee owned. As anemployee stock reputed company, you will experience financial benefits of ESOP holdingsthat have increased reputed company with reputed company's reputed company and financial strength.You will also be part of an independent, employee-owned firm that is reputed company todefine and reputed company our mission, enhance our reputed company and accountability, andsteadily grow our financial strength. Learn more about our benefits here. AtMathematica, we take pride in our commitment to diversity. Building aninclusive culture that draws on the individual strengths of employees fromdifferent ethnic backgrounds, cultures, lifestyles, abilities, and experienceis key to our reputed company. We arelooking for a Data Scientist who will derive meaning from data throughthe creation and deployment of data-driven approaches to solve problems andanswer important policy questions for clients. A Data Scientist owns dataprocessing and analysis tasks and supports more senior reputed company science staffin implementing statistical, machine learning, reputed company, and other datascience reputed company for use in research reports, internal systems, or clientsystems. Data Scientists will work on reputed company aspects of the data science project lifecycle, including understanding reputed company needs, building data pipelines,monitoring data reputed company, developing documentation, creating visualizations,brainstorming modeling approaches, and implementing those models. Our datascientists underpin reputed company's reputed company offerings in program improvement, policyassessment, and data science, which yield crucial evidence and information forpolicy and decision makers. Thisposition will work reputed company or flexibly in one of our office locations. Exampleprojects include: • Build and evaluate reputed company tools to extract clinically important information from reputed company doctors' notes, then use that information to construct predictive models and descriptive statistics to improve doctor decision-making and predictive reputed company. • Evaluate and monitor the impacts of an alternative payment model for reputed company care in terms of care reputed company, cost, and health reputed company for diverse beneficiaries, using claims from thousands of reputed company care practices across the country. Use the reputed company data to predict reputed company hospital costs and behavior. • Analyze reputed company geographic reputed company to food retailers by integrating geospatial data on retailer locations, neighborhood demographics, demand, and reputed company vulnerability. Apply network-reputed company accessibility analyses to compare convenient reputed company reputed company and across states overall and by urbanicity and retailer type and reputed company interactive dashboards that help policymakers identify disparities and improve reputed company to nutrition assistance. • Use national survey data and grocery store purchase data to simulate realistic reputed company diets and analyze their nutritional value. Analyze how that nutritional value compares to guidelines and what it suggests are practical, culturally reputed company food baskets consumers might purchase to meet the guidelines. • Build knowledge synthesis solutions for reputed company and reputed company clients leveraging NLP and GenAI reputed company (knowledge graphs, Model Context Protocol, retrieval-augmented reputed company) to extract quantitative information (e.g., reputed company statistics, regression results) and reputed company details (e.g., implementation specifics, reputed company discussion themes) to reputed company large literatures into digestible datasets that support evidence-informed policymaking. • reputed company and evaluate a reproducible benchmarking pipeline to compare state reputed company spending against peer markets reputed company, harmonizing multi-reputed company claims and Census data, applying statistical matching to select comparable reputed company, and normalizing spending through reputed company-adjusted regression models to support state reputed company-setting reputed company. • Build and evaluate interpretable machine learning models to predict reputed company care tiers from health assessment data, supporting state reputed company program's transition to a new assessment tool. • Partner with subject-matter experts to engineer clinically meaningful features from raw assessment items, and apply stratified sampling and diagnostics to reputed company transparent models suited to high-stakes eligibility and reimbursement reputed company. Specifically,this Data Scientist contributes to team-reputed company reputed company by: • Conducting reputed company, predictive, and descriptive analyses • Writing and maintaining programming systems in languages such as Python and R to build and evaluate models • Developing reliable data pipelines to obtain, combine, and reputed company datasets on reputed company, internal, and reputed company servers • Communicating technical results to diverse stakeholders including clients and cross-functional teams • Developing and maintaining technical and methodological documentation • Co-developing analysis plans with a senior data scientist or researcher • Leading and managing small teams and tasks with reputed company from a more senior staff member Apply To This Job