Forward Deployed Data Scientist at Govini

Govini

Arlington, Virginia, United States; Pittsburgh, Pennsylvania, United States; Remote·4d ago

Mid LevelFull-timeData ScienceAIMLNLP

Salary Range

$80,750 - $109,250 /year

Estimated

This salary is estimated based on similar roles. The actual salary may vary.

About the Role

We are seeking an inquisitive Data Scientist to join our team at Govini, leveraging deep expertise in Artificial Intelligence to address complex Defense Acquisition challenges. Your primary focus will be to work with proprietary and commercial datasets to derive actionable knowledge and identify potential issues that help government clients make more informed decisions.

Key Responsibilities

→Developing new AI methods and using existing ones to solve complex defense problems
→Developing working AI systems and deploying them
→Rapid prototyping of AI models, systems, heuristics, and agentic solutions
→Working directly with customers to understand and solve their problems
→Translating customer problem definitions into technical requirements for AI-based systems
→Translating vague customer needs into concrete AI workflows and Data Science solutions
→Evaluating solution effectiveness with customers, tuning, and redefining solutions when needed
→Deploying code into production AI systems
→Taking end-to-end ownership of client problems
→Communicating clearly with both non-technical and technical users
→Working with AI platform, agentic AI, and data engineering teams to build end-to-end solutions in production deployments
→Collaborating with AI platform and agentic AI teams to generalize capabilities into reusable agentic AI features/skills for other deployments
→Wrapping AI/DS solutions into AI agentic/skills frameworks
→Create agentic AI systems, using AI orchestrators and particular AI reasoning capabilities as tools.

Requirements

✓U.S. Citizenship is required
✓Ability to translate customer problems into technical AI requirements and write documentation
✓Deep ability to embed with clients, understand vague business or national security challenges, and translate these customer problems into concrete, actionable technical requirements and detailed documentation for AI-based systems
✓Expertise in rapidly prototyping models, heuristics, and agentic solutions
✓Skill in defining concrete AI workflows from vague requirements
✓Experience evaluating and tuning AI solutions for effectiveness
✓Competency in deploying code into production AI systems
✓Strong communication with non-technical users and technical users
✓Collaboration with cross-functional teams for production deployment
✓Strong collaboration and communication skills to work effectively with AI platform and data engineering teams
✓End-to-end ownership of client problems