Senior Data Scientist (Prompt Engineer)

What You'll be Owning: We are seeking a highly skilled Senior Prompt Engineer to support mission-critical intelligence operations. The ideal candidate brings agentic AI expertise, advanced data science capabilities, and demonstrated experience supporting national security objectives across GEOINT, multi-INT, and enterprise-level analytic environments. This position requires the ability to innovate, modernize AI tradecraft, and drive the integration of advanced AI methodologies into customer mission sets. What You Must Have: • Active TS/SCI Clearance is required with the ability to obtain a CI Poly • 10+ years of relevant experience. (A combination of years of experience & professional certifications/trainings can be used in lieu of years of experience) • Expertise in advanced analytic methodologies and proven ability to implement them to increase customer satisfaction and mission effectiveness. • Experience in database manipulation and maintaining structured analytic datasets. • Demonstrated proficiency using analytic tools to modernize workflows and enhance analytic rigor. • Ability to write clear, direct, well-structured prompts to apply analytic tools to structured and unstructured datasets using agentic AI. • Experience with Python/R scientific computing libraries (NumPy, Pandas, etc.) • Experience applying machine learning or statistical modeling techniques (e.g., regression, clustering, classification, time-series analysis) to mission datasets. • Experience creating reusable prompt libraries and workflows to accelerate AI deployments. • Experience authoring best practice documentation, building the framework for AI usage. • Ability to evaluate model performance, conduct error analysis, and effectively communicate model results to both technical and non-technical audiences. • Experience operationalizing analytic models into repeatable pipelines supporting intelligence production at scale. • Understanding of modern data science best practices, including model governance, reproducibility, transparency, and lifecycle management. • Conduct multi-INT research to augment agentic AI models supporting office operations. • Experience developing new geospatial tradecraft, methods, and technologies from an operations research perspective. • Ability to identify system enhancements, capability gaps, new technologies, and business case opportunities that strengthen mission delivery. What Would be Nice to Have: • Experience building and maintaining GEOINT, SIGINT, or OSINT datasets aligned to mission requirements. • Experience building effective AI Agents including function calling, tool integration, and agentic system debugging. • Ability to design and deliver briefings, demonstrations, and training events for users at all skill levels across mission applications. • Ability to extract, model, and visualize multi-INT datasets for both descriptive and predictive analysis. • Experience in applying deep learning or computer vision techniques (e.g., CNNs, segmentation, object detection) to GEOINT or multi-INT datasets. • Experience with API-driven ingestion, ETL pipelines, or microservice-based analytic architectures. • Ability to use AI resources programmatically through available API interfaces for data ingestion and processing. • Experience with Palantir in an operational environment.