[Remote] Data Scientist

Note: The job is a remote job and is open to candidates in USA. Analytica is a consulting and information technology solutions provider supporting public sector health, civilian, and national security missions. The company is seeking a Data Scientist II to develop and deliver analytics, machine learning, and AI solutions for a defense health program, including data processing, model development, visualization, and decision-support capabilities. The role collaborates with multidisciplinary teams and stakeholders to deliver actionable insights and production-ready AI/ML components.

Responsibilities

• 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

Skills

• * 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 applications or enterprise environments
• * Experience collaborating in a Git-based team environment using code reviews, Agile tickets, and software development best practices
• * Ability to work across notebook-based, browser-based, and local development environments, learn unfamiliar technologies quickly, manage competing priorities, and deliver assigned work independently
• * Strong communication and problem-solving skills, including proactive status reporting, early escalation of risks and blockers, and effective communication with technical and non-technical audiences
• * Must be a U.S. Citizen and able to obtain and maintain a SECRET security clearance
• * Experience supporting the military or veteran healthcare system highly preferred
• * Experience with Databricks or a comparable cloud-based data and AI platform
• * Experience with AWS services, Amazon Bedrock, Amazon Redshift, or related cloud analytics and AI capabilities
• * Experience with generative AI applications, RAG, recommendation systems, chatbots, or emerging AI technologies
• * Experience implementing automated testing, monitoring, and quality-assurance processes for data science or AI solutions

Benefits

• Bonus opportunities
• Employer-paid healthcare
• Professional development funding
• A 401(k) match
• This role may be hybrid in Falls Church, Virginia, or San Antonio, Texas, or potentially remote

Company Overview