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Sitrepsllc
Sitrepsllc

Forward Deployed Data Scientist

datafull-timeArlington, VA; Pittsburgh, PA; or Remote
SALARY
$140k – $175k/yr
WORK TYPE
remote
JOB TYPE
full-time
INDUSTRY
general
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About the role

Company Description

We are a premier defense technology firm transforming National Security through software-driven strategic advantages. Our flagship AI-enabled platform modernizes the defense acquisition lifecycle—from supply chain and logistics to modernization and sustainment. By replacing outdated manual processes with high-fidelity data and advanced analytics, we empower the national security community and every branch of the military to make faster, more informed decisions for the future of defense.

Job Description

We are seeking an inquisitive Forward Deployed Data Scientist with deep expertise in Artificial Intelligence and a sophisticated understanding of complex Defense Acquisition challenges. You will work with proprietary and commercial datasets to uncover critical connections, derive actionable knowledge, and identify potential risks that help government leaders make mission-critical decisions.

Your role involves designing, developing, and rapidly deploying scalable AI solutions that transform data into strategic capabilities. You must be an AI expert with a strong command of data science fundamentals and a proven ability to bring data-driven solutions to life within the defense ecosystem.

The ideal candidate is a highly organized problem-solver and a "scrappy" out-of-the-box thinker. You lead by influence, possess an intolerance for mediocrity, and are motivated to roll up your sleeves to produce simple, impactful solutions to complex problems.

Scope of Responsibilities

  • AI Innovation: Develop and deploy new AI methods and systems to solve complex defense challenges.
  • Rapid Prototyping: Build AI models, heuristics, and agentic solutions from the ground up.
  • Client Engagement: Work directly with customers to translate vague mission needs into concrete AI workflows and technical requirements.
  • End-to-End Ownership: Take full accountability for client problems, from initial discovery to deploying production code into AI systems.
  • Cross-Functional Collaboration: Partner with AI platform and data engineering teams to build end-to-end production solutions.
  • Generalization: Wrap specific Data Science solutions into reusable agentic AI frameworks.
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