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# Medicaid Data Scientist

- **Company:** Index Analytics Llc
- **Location:** Baltimore County, MD, United States
- **Experience:** Expert
- **Salary:** $150,000.0 - $172,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Continuous Integration, Data Mining, Data Visualization, Github, R (Programming Language), Graph Database, Statistical Hypothesis Testing, Python (Programming Language), MATLAB, Natural Language Processing, NumPy, Power BI, SQL Databases, Tableau (Software), Unstructured Data, Weka, Large Language Models, Pyspark, Text Analysis, Jenkins
- **Published:** November 6, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=f6d9b356837b3b4c

## About the Role

* US citizen or Authorized to Work and lived in the US 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.
 * A bachelor's degree with at least 6 years of relevant experience.
 * Prior experience with Center for Medicare Medicaid Services or other Govt agencies is preferred
 * Prior experience in conducting data analysis or research in one or more Medicaid and CHIP data domains such as Eligibility and Enrollment, Performance Indicator data, TAF, Behavioral Health, Expenditures, 416T reports, and Health outcomes is preferred.
 * Experience with Code repository tools like GitHub and automation with CI/CD tools like Jenkins, to manage code and testing pipelines.
 * Subject matter expert on text analytics
 * Experience applying statistical methods and concepts, such as distributions, statistical testing, regression, etc.
 * 4+ years of experience conducting complex data analysis, use of visualization techniques to support data driven decision making for effective program administration, policy making, and program oversight with overall improvements.
 * Experience applying statistical methods such as distributions, hypothesis testing, regression, exploratory analysis, or predictive modeling to complex program or healthcare data.
 * Proficiency in one or more analytical languages or platforms, such as Python, R, SQL, or PySpark.
 * Experience with visualization tools such as Tableau, Power BI, or Amazon QuickSight is a plus.
 * Experience with unstructured data, text analytics, natural language processing, large language models, knowledge graphs, ontologies, or taxonomies is a plus.
 * Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc.
 * Ability to demonstrate excellent written and oral communication required
 * Experience using Python and/or similar technologies is a plus

## Description

Index Analytics is seeking a Senior Data Scientist to support Government clients in the Baltimore and Washington D.C. Metro Area. The Senior Data Scientist creates value from data by using domain knowledge, statistical analysis, and programming to solve healthcare challenges., * Formulate Research, support development of solutions and recommendations for building value added products and solutions enhancing the current business operations and policy for Medicaid and CHIP programs.

 * Perform routine business analysis and independent research using various techniques (e.g. statistical analysis, explanatory and predictive modeling, data mining), provide business data interpretation on Medicaid data sets to include beneficiary eligibility and enrollment, claims, expenditures, program oversight, scorecards, utilization metrics, performance data and more.
 * Work with variety of Stakeholders to identify analytical requirements and produce ad hoc data and reports that visualize data using industry best practices for HCD and UX.
 * Conduct qualitative design research and exploratory data analysis to recommend solutions to meet new policy initiatives and enhance overall program oversight and performance.
 * Research and analyze data sources for trends, patterns and clusters to help further the analysis process to develop features for CMS business needs.
 * Work in an agile environment with a team of data analysts and scientists.
 * Perform data mining using state-of-the-art methods.
 * Perform data analysis, prepare, and review highly complex reports.
 * Develop technical documentation and deliverables (presentation slides, reports, draft manuscripts) with high quality and relevant viewpoints.
 * Communicate findings to clients and scientific audiences, through both oral presentations; able to translate complex nuances to others.
 * Build predictive models, data visualizations, and tools for analysis.