
51 - 200 employees
Founded 2012
đŒ Consulting
đ„ Healthcare
đŠ Logistics
Consulting âą Healthcare âą Logistics
Index Analytics LLC is a Baltimore-based small business that provides data science, IT, and program support services focused on federal health clients. The company combines data analytics, health program subject matter expertise, and IT capabilities to design, implement, and optimize health IT solutions for government contracts, emphasizing customer experience and measurable outcomes. Index Analytics serves as a B2B partner to federal health agencies, offering consulting and technical services to improve program performance and digital infrastructure.
đ„ 0 minutes ago
đŠ Maryland â Remote
đ” $140k - $200k / year
â° Full Time
đ Senior
đ Data Scientist
đŠ H1B Visa Sponsor
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51 - 200 employees
Founded 2012
đŒ Consulting
đ„ Healthcare
đŠ Logistics
Consulting âą Healthcare âą Logistics
Index Analytics LLC is a Baltimore-based small business that provides data science, IT, and program support services focused on federal health clients. The company combines data analytics, health program subject matter expertise, and IT capabilities to design, implement, and optimize health IT solutions for government contracts, emphasizing customer experience and measurable outcomes. Index Analytics serves as a B2B partner to federal health agencies, offering consulting and technical services to improve program performance and digital infrastructure.
âą Formulate research and support development of value-added products and solutions for Medicaid and CHIP business operations and policy âą Lead evaluations of advanced technologies, assessing effectiveness, efficiency, security, cost, and other factors âą Design and lead NLP and LLM/RAG projects for extracting insights from unstructured text âą Perform business analysis and independent research using statistical analysis, explanatory and predictive modeling, and data mining âą Interpret Medicaid datasets covering eligibility, enrollment, claims, expenditures, oversight, scorecards, utilization, and performance metrics âą Develop information and technical architecture, configure models, evaluate performance, modify parameters, and help set technical standards âą Collaborate with stakeholders to identify analytical requirements and produce ad hoc data reports and visualizations using HCD and UX best practices âą Conduct qualitative design research and exploratory data analysis for policy initiatives and program oversight âą Work in an agile team of data analysts and scientists âą Develop technical documentation and deliverables, including presentation slides, reports, and draft manuscripts âą Communicate findings to clients and scientific audiences through oral presentations and clear explanations of complex concepts âą Build predictive models, data visualizations, and analytical tools
âą U.S. Citizen or authorized to work in the United States âą Resided in the U.S. for at least three of the past five years âą Eligible to obtain a federal government client badge âą Successfully pass a Public Trust background investigation âą Master's degree and minimum of 10 years of professional experience, including at least 6 years of information technology experience, or equivalent combination of education and experience âą Four years of specialized experience may substitute for a master's degree âą Minimum of 4 years of experience conducting complex data analysis and applying data visualization techniques âą Experience analyzing and researching Medicaid and CHIP domains, including Eligibility and Enrollment Performance Indicator data, T-MSIS Analytic Files (TAF), Behavioral Health, expenditures, Form CMS-416 reporting, and health outcomes âą Experience supporting CMS or other federal or state government agencies is preferred âą Expert-level Python proficiency, including developing, reviewing, testing, and maintaining analytical code with data science, machine learning, and statistical libraries âą Hands-on NLP, LLM, and RAG solution design, development, and implementation experience âą Experience with GitHub and CI/CD tools such as Jenkins âą Subject matter expertise in text analytics, information extraction, document intelligence, and unstructured data analysis âą Strong foundation in probability distributions, hypothesis testing, regression analysis, predictive modeling, and quantitative research methodologies âą Excellent written, verbal, and presentation communication skills âą Experience with interactive data visualizations and dashboards using Tableau, Power BI, AWS QuickSight, or similar is preferred âą Experience with Guru, Glean, Databricks AI, and machine learning or generative AI capabilities is preferred
âą Dynamic and employee-friendly workplace âą Supportive and collegial team environment âą Career development opportunities âą Educational opportunities âą Opportunities to reach your potential and join a community with national impact
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