Medicaid Data Scientist

INDEX ANALYTICS LLC•Baltimore, MD

1d•$150,000 - $172,000•Remote

About The Position

Index Analytics, LLC, a Baltimore-based health-related consulting company serving the federal government, is seeking a Senior Data Scientist to support government clients in the Baltimore and Washington, D.C. metropolitan area. The role uses healthcare domain knowledge, statistical analysis, and programming to address healthcare challenges, with a focus on Medicaid and CHIP programs. The position involves analyzing program data, developing research and recommendations, and creating predictive models, visualizations, and tools. The company describes its culture as supportive and collegial, with an emphasis on employee experience, career development, and educational opportunities.

Requirements

Bachelor’s degree and at least 6 years of relevant experience.
At least 4 years of experience conducting complex data analysis and using visualization techniques to support data-driven decision-making for program administration, policymaking, and program oversight and improvement.
Experience applying statistical methods to complex program or healthcare data, including distributions, hypothesis testing, regression, exploratory analysis, or predictive modeling.
Proficiency in one or more analytical languages or platforms, such as Python, R, SQL, or PySpark.
Experience with code repository tools such as GitHub and CI/CD automation tools such as Jenkins for managing code and testing pipelines.
Subject matter expertise in text analytics.
Excellent written and oral communication skills.
Must be a U.S. citizen or authorized to work and have lived in the U.S. for 3 of the last 5 years; must be able to obtain a U.S. federal government client badge and pass a government Public Trust.

Nice To Haves

Prior experience with the Centers for Medicare & Medicaid Services (CMS) or other government agencies.
Experience analyzing Medicaid and CHIP data domains, such as Eligibility and Enrollment, Performance Indicator data, TAF, Behavioral Health, Expenditures, 416T reports, and health outcomes.
Experience with visualization tools such as Tableau, Power BI, or Amazon QuickSight.
Experience with unstructured data, text analytics, natural language processing, large language models, knowledge graphs, ontologies, or taxonomies.
Experience with common data science toolkits such as R, Weka, NumPy, or MatLab.
Experience using Python or similar technologies.

Responsibilities

Formulate research and support development of solutions and recommendations for value-added products and solutions that enhance Medicaid and CHIP business operations and policy.
Conduct routine business analysis and independent research using statistical analysis, explanatory and predictive modeling, and data mining; interpret Medicaid data, including eligibility and enrollment, claims, expenditures, program oversight, scorecards, utilization metrics, and performance data.
Work with stakeholders to identify analytical requirements and produce ad hoc data and reports that visualize information using industry best practices for HCD and UX.
Conduct qualitative design research and exploratory data analysis to recommend solutions for new policy initiatives and improved program oversight and performance.
Research and analyze data sources for trends, patterns, and clusters to support analysis and develop features for CMS business needs.
Work in an agile team of data analysts and scientists.
Perform data mining using state-of-the-art methods.
Analyze data and prepare and review highly complex reports.
Develop high-quality technical documentation and deliverables, including presentation slides, reports, and draft manuscripts.
Communicate findings to clients and scientific audiences through oral presentations, translating complex nuances for others.
Build predictive models, data visualizations, and tools for analysis.