Senior Data Scientist

Index Analytics, LLC, is a rapidly growing, Baltimore-based small business providing health-related consulting services to the federal government. At the center of our company culture is a commitment to instilling a dynamic and employee-friendly place to work. We place a priority on promoting a supportive and collegial team environment and enhancing staff experience through career development and educational opportunities.

Position Overview

The Senior Data Scientist applies advanced analytics, statistical modeling, machine learning, and emerging artificial intelligence technologies to address complex healthcare and policy challenges. This role combines deep technical expertise with healthcare domain knowledge to transform complex data into actionable insights, support evidence-based decision-making, and drive innovation across Medicaid and CHIP programs.

The incumbent will lead the development of analytical solutions, evaluates and implements advanced technologies including NLP and LLM/RAG frameworks, and collaborates with stakeholders to design scalable, data-driven products that improve program oversight, operational performance, and health outcomes.

Responsibilities

• 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.

• Lead evaluations of advanced technologies to identify best fits for business problems. Includes assessments of effectiveness, efficiency, security, cost, and other dimensions of candidate technologies.

• Design and lead implementation of natural language processing and LLM/RAG projects that allow users to derive insights from unstructured text data in multiple platforms.

• 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.

• Develop information and technical architecture, set up models, evaluate performance, modify parameters; help set technical standards.

• 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.

• Work in an agile environment with a team of data analysts and scientists.

• 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.