Data Scientist

Analytica is seeking a Data Scientist II to support a defense health mission-critical program. The ideal candidate will be comfortable working directly with clients in a consulting and delivery capacity to develop innovative analytics, machine learning, and AI solutions that address complex business and operational challenges. This role will independently develop and deliver data science and AI solution components while owning assigned analytics, data processing, model development, visualization, and decision-support work within multidisciplinary project teams.

The Data Scientist will work across project work streams to analyze complex data, develop predictive and prescriptive analytic solutions, and deliver actionable insights that support data-driven decision-making. The candidate must be a U.S. Citizen with a SECRET clearance or the ability to obtain and maintain one. This role may be hybrid in Falls Church, Virginia, or San Antonio, Texas, or potentially remote, with periodic travel as required.

Analytica has been recognized as one of the fastest-growing private U.S. businesses and supports government customers across health, civilian, and national security missions.

• competitive compensation
• bonus opportunities
• employer-paid healthcare
• professional development funding
• a 401(k) match

• Develop and deploy analytics, machine learning, natural language processing, and AI solutions that advance mission and client objectives.
• Develop and enhance generative AI and RAG solution components using large language models, embeddings, vector databases, retrieval strategies, prompt engineering techniques, and cloud-based AI services.
• Use AI-assisted development tools responsibly by critically evaluating generated code and analysis, validating sources and assumptions, testing outputs, and documenting material decisions.
• Perform data acquisition, ETL, exploratory data analysis, data preparation, feature engineering, and validation using Python, SQL, and related technologies.
• Apply statistical methods, predictive modeling, machine learning, and time-series analysis to healthcare, business, and operational challenges.
• Develop, test, evaluate, deploy, and monitor AI/ML solution components to support accuracy, reliability, scalability, security, and production performance.
• Develop dashboards, visualizations, and analytic products using Python, Power BI, Tableau, or comparable tools when required by the solution.
• Partner with clinical, operational, technical, and client stakeholders to gather requirements, translate needs into technical approaches, and communicate findings and recommendations.
• Develop and troubleshoot APIs, data services, and AI-enabled application components while supporting integration with enterprise systems and cloud platforms.
• Collaborate through Git, code reviews, Agile ticketing, and established development practices; break work into deliverable tasks, communicate progress and dependencies, surface blockers early, and coordinate assistance when needed.
• Produce technical documentation, presentation materials, implementation guidance, and knowledge-transfer artifacts, and contribute to technical research and continuous improvement.

• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Health Informatics, Public Health, or a related field; master's degree preferred.
• Two to four years of experience developing data science, analytics, machine learning, or AI solutions in applied project environments.
• Strong proficiency in Python and SQL for data preparation, analytics, model development, testing, and deployment.
• Experience developing and evaluating machine learning models, including feature engineering, train/validation/test design, performance assessment, and error analysis.
• Working knowledge of NLP and modern AI concepts, including large language models, embeddings, RAG, prompt engineering, retrieval approaches, and output evaluation.
• Experience creating dashboards or visual analytics using Power BI, Tableau, Python, or comparable tools.
• Familiarity with API-based solutions and integration of data, machine learning, or AI services into broader…