Data Scientist – Falls Church, VA

Seeking an experienced Data Scientist to design, develop, and deploy AI-based solutions using Palantir Foundry and other similar platforms.

Salary Range $120K
-140K

This role focuses on applying advanced data science, machine learning, and autonomous/agent-based reasoning techniques to solve complex, mission-critical problems. The Data Scientist will work closely with stakeholders, engineers, and product teams to translate operational needs into scalable, production-ready AI capabilities within an ontology-driven ecosystem. Independently apply knowledge and expertise to various projects and program initiatives; investigate, analyze, plan, design, implement, or evaluate solutions for the project efforts.

• Provide expert-level issue resolution and recommendation support to achieve mission goals.
• Conduct in-depth data analysis to extract actionable insights.
• Possess strong problem-solving skills with great attention to detail.
• Develop and maintain data pipelines, transforming raw data into usable formats.
• Clean and preprocess data to ensure data quality and consistency.
• Design, develop, and operationalize agentic AI workflows (e.g., autonomous agents, multi-step reasoning pipelines, human-in-the-loop decision systems)
• Build and maintain data pipelines, transformations, and analytical models using Foundry tools, Python, and SQL to convert raw data into actionable insights
• Develop, train, evaluate, and deploy machine learning and AI models, including supervised, unsupervised, and reinforcement learning approaches, as appropriate to mission needs [
• Leverage Foundry's Ontology, Actions, and operational workflows to embed AI and agentic logic directly into business and mission processes
• Stay up-to-date with the latest data science/artificial intelligence (AI) trends and technologies.

• Demonstrate an ability to quickly gain domain expertise.
• Ability to work collaboratively in a team and independently when needed.
• Ability to thrive in a hybrid work environment with the ability to support onsite work (up to 40%) and travel out of state as needed.
• Master's degree in a STEM field (e.g., Computer Science, Mathematics, Statistics, Economics, Data Science, Life Sciences, Engineering) and two (2) years of experience related to Data Science.
• Bachelor's degree in computer science, Statistics, Mathematics, Data Science, Engineering, or a related quantitative field can be substituted for a master's degree with additional three (3) years of experience in data science or a related role.
• Proficient in utilizing tools, techniques, and scientific computing libraries (e.g., SQL, MS Access, Python) to build predictive models and perform statistical analysis.
• Experience working with data integration technologies leveraging Application Program Interfaces (APIs) (e.g., RESTful, etc.) to access external data sources.
• Palantir Foundry Bootcamp or similar certifications.

• Experience working with Palantir Foundry, including pipelines, transformations, ontology-based applications, or workshop-style operational solutions
• Experience with LLM evaluation methods (automated scoring, human review pipelines, hallucination mitigation, safety testing).
• Experience with MLOps tooling and patterns (model registries, feature stores, drift detection, experiment tracking).

• Must be eligible to work in the US and be able to obtain a Confidential (tier
  1) clearance