Description:

Build the data and model layer for an AI-enabled decision-support system in a controlled environment.
Focus on data ingestion, record matching, relevance scoring, and generating actionable explanations.
Work on new capabilities like probabilistic matching and calibrated scoring, using current tooling and AI assistance.
Fully remote role with occasional travel (up to 25%).

Requirements:

5+ years of experience in data engineering, data architecture, applied machine learning, or production analytics engineering.
Strong proficiency in Python and SQL, with experience in large operational data.
Experience in delivering systems for operational use, not just exploratory analysis.
Active US Secret clearance required; US Citizenship is mandatory.
Willingness to travel up to 25% for work-related purposes.

Skills