Data Scientist - TSSCI w/ Poly

Core Responsibilities

• Develop, train, and optimize machine learning algorithms for mission use cases
• Build predictive analytics models using intelligence data from multiple sources
• Integrate disparate intel datasets (structured, unstructured, geospatial) into unified analytical pipelines
• Use Oracle Machine Learning (OML) as the primary modeling environment
• Design and implement AI enhanced data pipelines, including metadata extraction, enrichment, lineage, and cataloging
• Apply LLM based techniques (RAG, MCP) to augment predictive workflows
• Build and maintain SQL, Python, and R based analytical scripts and services
• Collaborate with AI engineers to integrate models into mission applications and dashboards
• Work with geospatial data types (rasters, vectors) for spatial ML and predictive modeling
• Develop reproducible notebooks, AutoML workflows, and model evaluation frameworks

• Strong foundation in ML algorithms, predictive modeling, and statistical learning
• Experience integrating and preparing intelligence data for analysis
• Hands on experience with Oracle Machine Learning (OML)
• Proficiency in SQL, Python, R
• Experience with geospatial data (rasters, vectors)
• Ability to build and maintain data pipelines for ingestion, normalization, enrichment, and orchestration
• Familiarity with LLM augmented workflows (RAG, MCP)
• Ability to work with mission stakeholders to translate data into actionable predictions

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.