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