Junior 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.

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.