Forward Deployed Data Scientist
AI summary of the role
Builds and deploys AI solutions from defense client data to help government clients make informed decisions.
What you’ll do
- Develop and deploy working AI systems and rapidly prototype models and agentic solutions
- Work directly with customers to translate vague needs into concrete AI workflows
- Deploy code into production AI systems and take end-to-end ownership of client problems
What you’ll bring
- . U.S. Citizenship is required
- . Ability to translate customer problems into technical AI requirements and document for multiple teams
- . Expertise in rapidly prototyping models, heuristics, and agentic solutions and deploying production code
Technologies
AI · machine learning · NLP · LLM · agentic AI · operations research · optimization · decision science · Python · agentic frameworks
About Govini
Govini sells AI-enabled software and data workflows that help DoD and federal teams make faster acquisition, supply-chain, production, and modernization decisions.
Private Late · 200–500 people
Source and classification
Internal deployment & tooling · Evidence for this classification:
datasets to find critical connections, derive actionable knowledge, and identify potential issues that help our government clients make more informed decisions. Your role will involve designing, developing, and rapidly deploying scalable AI solutions that transform these insights into mission-critical capabilities. You will have the opportunity to expand and grow data-driven research across Air, leading new areas to apply advanced analytics to drive strategic business and national security results. As part of our team, 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. In order to do this job well, you must be a highly organized problem-solver and possess excellent oral and written communication skills, capable of translating complex AI concepts for both technical and
More from the job description
Company Description Air is the leader in Enterprise Readiness. Our mission is to establish readiness as a real-time condition that is continuously achieved. Today, a dangerous Readiness Gap exists between what the front line needs and what is delivered. Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and sustainment into one coordinated execution system for government agencies and industrial suppliers. By revealing true capacity, exposing real constraints, coordinating resources, and executing at the speed of operational demands, the front line gets what it needs to succeed. Job Description We are seeking an inquisitive Data Scientist to join our team, leveraging deep expertise in Artificial Intelligence and a keen understanding of complex Defense Acquisition challenges. Your primary focus will be to work with our proprietary and commercial datasets to find critical connections, derive actionable knowledge, and identify potential issues that help our government clients make more informed decisions. Your role will involve designing, developing, and rapidly deploying scalable AI solutions that transform these insights into mission-critical capabilities. You will have the opportunity to expand and grow data-driven research across Air, leading new areas to apply advanced analytics to drive strategic business and national security resul [... source excerpt omitted ...] rototyping/deployment. This role is a full-time position located out of our office in Arlington, VA, Pittsburgh, PA, or Remote. This role may require up to 50% travel. Scope of 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 [... source excerpt omitted ...] ient 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. Qualifications U.S. Citizenship is required Required Skills: Ability to translate customer problems into technical AI requirements, and write down the documentation to be used by
Employer postings · Data from · Sources