• Conduct quantitative analysis including hypothesis testing and root-cause analysis on large data sets • Support the working group by identifying types of information needed for analysis or to inform business questions • Use statistical analysis and machine learning to develop, maintain, and anticipate considerations in implementation of models • Use critical thinking to use the right approach for each problem statement • Anticipate business needs and make continuous improvements to models and processes

Job DetailsLevel: ExperiencedJob Location: Remote - Baltimore, MD 21244Education Level: 4 Year DegreeSalary Range: $85,500.00 - $115,500.00 Salary/yearIndex 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. Qualifications 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 Attention Candidates We're dedicated to ensuring a safe and transparent recruitment process for all candidates and have implemented robust measures to protect your personal information. Please be aware that all employment-related communications will originate from a secure portal (NAME@msg.paycomonline.com) or a corporate email address (NAME@index-analytics.com). If you have any concerns, please don't hesitate to reach out to us at recruiting@index-analytics.com. 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 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.

• Design, build and deploy ML systems that help our customers work and ship more efficiently. • Lead cross-functional initiatives to put your work in the hands of our customers. • Mentor junior data scientists on the team. • Measure and continuously improve the accuracy of predictive models. • Use AI & ML to incorporate additional unstructured datasets into our ML models. • Orchestrate and automate scalable model pipelines in production environments. • Effectively document and communicate methodologies and results. • Use data to inform and influence the direction of the product roadmap. • Research and develop new models to solve key business challenges. • Use visualization & reporting to improve the ways in which our team accesses and interprets datasets. • Keep up-to-date with recent developments in AI / ML.

• Develop and implement algorithms for navigation, positioning, and motion estimation • Work with sensor data (e.g., GPS/GNSS, IMU) to build reliable models • Design and apply sensor fusion techniques to combine data sources • Implement and optimize filtering and estimation algorithms (e.g., Kalman Filters) • Analyze large datasets to identify patterns and performance improvements • Collaborate with engineering teams to integrate models into production systems • Validate models through simulations and real-world data testing • Document methodologies, assumptions, and results for stakeholders