Forward Deployed Senior Data Scientist

4 hours ago
Full-time
Lead
Data Science and Analytics
Govini

Govini

Govini is a leading commercial data company focused on advancing U.S. competitiveness through dynamic data and machine learning. Specializing in national security, Govini provides data science and machine learning solutions to government agencies, incl...

Professional Services
51-250
Founded 2011
$20M raised

Description

  • Develop AI/ML/data science systems that address defense acquisition problems.
  • Design and build new AI-based technology stacks tailored to customer needs.
  • Develop evaluation solutions for AI deployments.
  • Lead end-to-end AI projects from planning through timely delivery.
  • Collaborate with AI research, data engineering, and software development teams to deliver robust systems.
  • Translate high-level AI requirements into actionable technical plans and roadmaps.
  • Build scalable AI-based platforms that support defense ecosystem customers.
  • Stay current on advances in AI, LLMs, and agentic systems and share best practices across the team.
  • Mentor and coach team members to promote technical excellence and continuous learning.
  • Create agentic AI systems using AI orchestrators and reasoning capabilities.

Requirements

  • U.S. citizenship is required.
  • Experience overseeing the full lifecycle of AI projects.
  • Understanding of coding AI tools such as Claude Code and using them to scale AI team delivery.
  • Ability to collaborate with cross-functional teams, including AI research, data engineering, and software development.
  • Ability to define software architecture for AI systems and project roadmaps.
  • Ability to translate AI system requirements into technical plans.
  • Experience delivering production-ready AI solutions integrated with client data platforms and workflows.
  • Deep expertise in cutting-edge AI, including LLMs and agentic systems.
  • Strong national security domain knowledge.
  • Preferred: strong publication record in top conferences in AI, ML, NLP, or decision science.
  • Preferred: deep knowledge of LLM and agentic system evaluation and experience building evaluation systems.
  • Preferred: experience with LLM post-training or fine-tuning.
  • Preferred: experience with MLOps practices, including deployment, monitoring, and management of large-scale models in cloud environments such as GCP, AWS, or Azure.
  • Preferred: track record of transitioning AI research prototypes into production-grade enterprise solutions.

Interested in this position?

Apply directly on the company website

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