Senior Data Scientist

Analytica is seeking a Senior Data Scientist to help advance a defense health, mission-critical program through analytics and generative AI capabilities. This role supports the delivery of actionable insights, including RAG and large language model-based solutions, with remote work plus hybrid opportunities in Falls Church, VA and periodic travel. The position requires U.S. citizenship and a SECRET clearance (or ability to obtain).

Benefits that support your growth

• Competitive compensation
• Bonus opportunities
• Employer-paid healthcare
• Professional development funding
• 401(k) match

What you’ll do

• Develop and deploy advanced analytics, machine learning, NLP, and AI solutions aligned to mission and client objectives.
• Build and enhance generative AI and RAG solutions using large language models, embeddings, vector databases, retrieval strategies, prompt engineering techniques, and cloud-based AI services.
• Perform data acquisition, ETL, exploratory data analysis, data preparation, and validation using Python, SQL, and related technologies.
• Apply statistical methods, predictive modeling, machine learning, and time-series analysis to address complex business and operational challenges.
• Develop, test, evaluate, and monitor AI/ML solutions to support accuracy, reliability, scalability, security, and performance in production environments.
• Partner with stakeholders and clients to gather requirements, translate business needs into technical solutions, and communicate findings to technical and non-technical audiences.
• Develop and troubleshoot APIs, data services, and AI-enabled applications, supporting integration with enterprise systems and cloud platforms.
• Contribute to collaborative software development using Git-based version control, code reviews, and Agile methodologies.
• Create technical documentation, presentation materials, implementation guidance, and knowledge-transfer artifacts to support delivery and sustainment.
• Evaluate emerging technologies, identify opportunities to improve processes and solutions, and apply modern data science and AI capabilities to complex problems.

What you bring

• Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related technical field (a Master’s degree is preferred).
• 5+ years of experience developing data science, analytics, machine learning, or AI solutions, including experience leading technical tasks and contributing to complex projects.
• Strong proficiency in Python and SQL for data preparation, analytics, model development, testing, and deployment.
• Experience designing, developing, validating, and monitoring machine learning models, including feature engineering, model evaluation, and performance optimization.
• Working knowledge of modern AI and natural language processing concepts, including large language models, embeddings, vector databases, prompt engineering, retrieval approaches, and output evaluation.
• Experience building API-based solutions and integrating data, machine learning, and AI services into enterprise environments.
• Familiarity with object-oriented design (classes, inheritance, abstraction, etc.).
• Experience collaborating in team development environments using Git, code reviews, Agile workflows, and software development best practices.
• Strong communication and problem-solving skills, including the ability to present technical concepts and recommendations to technical and non-technical audiences.
• Ability to work independently as a self-starter, learn new technologies quickly, manage competing priorities, and communicate effectively across technical and non-technical teams.
• U.S. citizenship and the ability to obtain and maintain a SECRET security clearance.

Preferred qualifications

• Experience with Databricks, including development of scalable analytics, machine learning, and AI workflows.
• Experience with AWS cloud services and related AI capabilities.
• Experience with large language models, RAG, generative AI applications, recommendation systems, and emerging AI technologies.
• Experience building client relationships and working directly with stakeholders in a consulting environment.
• Experience implementing automated testing, monitoring, and quality assurance processes for data science and AI solutions.
• Experience supporting Department of Defense, federal healthcare, or other public-sector clients.

Technologies you’ll work with

Python, SQL, NLP, machine learning, AI, generative AI, RAG, large language models, embeddings, vector databases, retrieval strategies, prompt engineering, cloud-based AI services, APIs, Git, Agile, Databricks, AWS cloud services, Amazon Bedrock.