Junior Data Scientist

The Junior Data Scientist will work in a big data environment to help us build and deliver secure AI-enabled solutions. In this role you will develop and maintain Python and SQL solutions (e.g., using Jupyter/Notebook, Streamlit, and Snowflake), support data exploration and predictive modeling, and help us implement generative AI capabilities. Responsibilities

• Support the development and maintenance of Python solutions in Jupyter/Notebook and Streamlit, using Snowflake for data storage and querying under guidance from senior team members.
• Assist with designing, prototyping, and implementing AI-enabled capabilities (e.g., chatbots, code-assist/code-generation workflows) to meet program needs.
• Help build and maintain evaluation datasets and metrics (e.g., accuracy, groundedness, hallucination checks) and contribute to model testing and quality validation.
• Create simple data visualizations, dashboards, and analysis outputs to communicate findings and support decision-making.
• Follow responsible AI practices throughout development and deployment, including transparency, fairness, robustness, explainability, and basic solution observability, escalating risks/issues as needed.
• Stay current on emerging AI/ML and assistant technologies; share relevant updates, demos, or findings with the team.
• Collaborate with an agile team of data scientists by completing assigned tasks, participating in ceremonies, documenting work, and iterating on analytics products.

• 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.
• Requires a minimum of four (4) years of relevant experience with a Bachelor’s degree, or a Master’s degree with at least two (2) years of experience. Four (4) years of specialized experience may be substituted for a Bachelor’s degree.
• Advanced certifications can be used to substitute for experience.
• Experience with Python and SQL
• Experience with Python AI/ML libraries
• Experience with common data science toolkits, such as pandas, NumPy etc.
• Experience with code repository tools like GitHub is preferred
• Exposure to Generative AI, NLP, and LLM is preferred
• Strong communication skills and experience collaborating with analytics, application, and platform teams in an Agile environment
• Prior experience with Center for Medicare Medicaid Services or other government agencies is a plus, If you are selected for an interview, please be advised that Index Analytics LLC reserves the right to prohibit the use of artificial intelligence (AI) tools, including but not limited to AI-generated responses, real-time transcription, or automated assistance during the interview process. We value authentic interactions and the opportunity to engage directly with candidates. Any unauthorized use of AI may result in disqualification from consideration.

The salary range provided represents the estimated compensation for new hires in this position, applicable across all locations. Actual offers may vary based on factors such as the candidate’s skills, qualifications, experience, and market conditions. Index complements its base salary offering with a competitive package that includes health and retirement benefits, discretionary bonuses, and reimbursement for professional development opportunities.

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., Index Analytics provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.