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Senior Data Scientist

đŸ”„ 0 minutes ago

🩀 Maryland – Remote

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đŸ’” $140k - $200k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

🩅 H1B Visa Sponsor

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Logo of Index Analytics LLC

Index Analytics LLC

51 - 200 employees

Founded 2012

đŸ’Œ Consulting

đŸ„ Healthcare

📩 Logistics

Consulting ‱ Healthcare ‱ 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.

📋 Description

‱ Formulate research and support development of value-added products and solutions for Medicaid and CHIP business operations and policy ‱ Lead evaluations of advanced technologies, assessing effectiveness, efficiency, security, cost, and other factors ‱ Design and lead NLP and LLM/RAG projects for extracting insights from unstructured text ‱ Perform business analysis and independent research using statistical analysis, explanatory and predictive modeling, and data mining ‱ Interpret Medicaid datasets covering eligibility, enrollment, claims, expenditures, oversight, scorecards, utilization, and performance metrics ‱ Develop information and technical architecture, configure models, evaluate performance, modify parameters, and help set technical standards ‱ Collaborate with stakeholders to identify analytical requirements and produce ad hoc data reports and visualizations using HCD and UX best practices ‱ Conduct qualitative design research and exploratory data analysis for policy initiatives and program oversight ‱ Work in an agile team of data analysts and scientists ‱ Develop technical documentation and deliverables, including presentation slides, reports, and draft manuscripts ‱ Communicate findings to clients and scientific audiences through oral presentations and clear explanations of complex concepts ‱ Build predictive models, data visualizations, and analytical tools

🎯 Requirements

‱ U.S. Citizen or authorized to work in the United States ‱ Resided in the U.S. for at least three of the past five years ‱ Eligible to obtain a federal government client badge ‱ Successfully pass a Public Trust background investigation ‱ 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 ‱ Four years of specialized experience may substitute for a master's degree ‱ Minimum of 4 years of experience conducting complex data analysis and applying data visualization techniques ‱ 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 ‱ Experience supporting CMS or other federal or state government agencies is preferred ‱ Expert-level Python proficiency, including developing, reviewing, testing, and maintaining analytical code with data science, machine learning, and statistical libraries ‱ Hands-on NLP, LLM, and RAG solution design, development, and implementation experience ‱ Experience with GitHub and CI/CD tools such as Jenkins ‱ Subject matter expertise in text analytics, information extraction, document intelligence, and unstructured data analysis ‱ Strong foundation in probability distributions, hypothesis testing, regression analysis, predictive modeling, and quantitative research methodologies ‱ Excellent written, verbal, and presentation communication skills ‱ Experience with interactive data visualizations and dashboards using Tableau, Power BI, AWS QuickSight, or similar is preferred ‱ Experience with Guru, Glean, Databricks AI, and machine learning or generative AI capabilities is preferred

đŸ–ïž Benefits

‱ Dynamic and employee-friendly workplace ‱ Supportive and collegial team environment ‱ Career development opportunities ‱ Educational opportunities ‱ Opportunities to reach your potential and join a community with national impact

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