Scientist Jobs

About The Position

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.

Benefits

• Career development and educational opportunities