Sitreps LLC Logo

Sitreps LLC

Forward Deployed Data Scientist

Posted 11 Days Ago
In-Office or Remote
Hiring Remotely in Arlington, VA
140K-175K Annually
Senior level
In-Office or Remote
Hiring Remotely in Arlington, VA
140K-175K Annually
Senior level
Design, prototype, and deploy scalable AI and agentic solutions for defense acquisition problems. Embed with clients to translate mission needs into technical requirements, measure real-world impact, and productionize models. Collaborate with platform and data engineering to build reusable agentic frameworks and ship production-grade code.
The summary above was generated by AI
Forward Deployed Data Scientist

Location: Arlington, VA; Pittsburgh, PA; or Remote

Travel: Up to 75%

Role Type: Full-time
$140-$175K + up to 30% bonus + Equity

About the Client

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 By replacing outdated manual processes with high-fidelity data and advanced analytics, we empower the national security community and every branch of the military to make faster,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.

About the Role

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.

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 and features for broader deployment.

  • Agentic Systems: Create agentic AI systems using AI orchestrators and advanced reasoning capabilities.

RequirementsMust-Haves
  • U.S. Citizenship is required.

  • Technical Translation: Proven ability to embed with clients, understand vague national security challenges, and translate them into concrete technical documentation for multiple teams.

  • Prototyping & Deployment: Expertise in rapidly prototyping agentic solutions and deploying production-grade code.

  • Impact Measurement: Experience evaluating, tuning, and measuring the real-world impact of AI/DS solutions.

  • Agentic Frameworks: Competency in building agent skills to solve specific problems and integrating those solutions into broader frameworks.

  • Communication: Strong ability to communicate complex concepts clearly to both technical and non-technical users.

Nice-to-Haves
  • Academic Excellence: A strong publication record in top AI, ML, NLP, or Decision Science conferences.

  • Evaluation Systems: Deep knowledge of LLM and Agentic system evaluation.

  • Specialized Domains: Expertise in Operations Research, Optimization, or Decision Science.

  • Enterprise Scaling: A track record of successfully transitioning research prototypes into robust, production-grade enterprise solutions.

Similar Jobs

5 Days Ago
Remote
US
Junior
Junior
Artificial Intelligence • Software
Deploy and validate NEXUS in customer environments, perform end-to-end data and feature engineering, benchmark against baselines (XGBoost/LightGBM), optimize models for business impact, handle last-mile integrations (VPC/on‑prem/air-gapped), and translate field insights into product improvements while liaising with stakeholders.
Top Skills: AWSAzureDockerFastapiFlaskGCPLightgbmNexusPandasPysparkPythonPyTorchXgboost
13 Days Ago
In-Office or Remote
Senior level
Senior level
Software • Analytics • Defense
Design, develop, and deploy scalable AI/ML solutions for defense acquisition problems using LLMs and agentic systems. Lead end-to-end AI projects, collaborate with research, data engineering, and software teams, build evaluation and production-grade platforms, mentor teammates, and transfer AI innovations into mission-capable capabilities while aligning with strategic objectives.
Top Skills: Agentic SystemsAi OrchestratorsAWSAzureClaude CodeGCPLarge Language Models (Llms)Llm Fine-TuningMlops
13 Days Ago
In-Office or Remote
Senior level
Senior level
Software • Analytics • Defense
Design, prototype, and deploy scalable AI and agentic solutions for defense acquisition; translate customer needs into technical requirements; evaluate, tune, and integrate models into production with cross-functional teams while owning end-to-end client problems.
Top Skills: Agentic AiAgentic FrameworksAi OrchestratorsAi PlatformData EngineeringLlm

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account