Data Science Manager, Forward Deployed
Govini - Arlington, Virginia, United States; Pittsburgh, Pennsylvania, United States
Posted Jan 30, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
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- Weekend work
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Application
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Data Science Manager, Forward Deployed Arlington, Virginia, United States; Pittsburgh, Pennsylvania, United States Company Description Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science & Technology, Production, Sustainment, Logistics, and Modernization teams with AI-enabled Applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions. Job Description At Govini, the Data Science Manager, Forward Deployed, is responsible for managing the AI model development discipline and team, including AI roadmap development, AI/ML model development, evaluation, and designing models and AI systems for particular use cases for National Security customers. You will collaborate with Product, Sales, and Engineering in a cross-functional capacity to deliver high-quality, decision-grade models and product features to our customers. You will work with our customers directly to better understand their key challenges. You thrive under pressure and are eager to solve new challenges. You are passionate about recruiting and developing top data science talent. You are a technology and data nerd who strives to always deliver the best product to our customers. In order to do this job well, you will push the boundaries of machine learning, with a focus on delivering clear, direct value to our customers. You will always look for new ways to leverage models to drive new insights and customer value.
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