Data Scientist (Applied AI – Performance Management)

Leidos is seeking an Applied Data Scientist to join our Performance Management team supporting a large, mission-critical Navy program. This role is focused on using data science and AI to identify performance improvement opportunities, improve the effectiveness of plans of action and milestones (POAMs), and enable a more proactive, code-first approach to performance management.

The work centers on Service Level Requirements (SLRs) that govern contractual performance across the program, with additional support to broader Navy performance initiatives such as World Class Alignment Metrics (WAM). The emphasis is on applied problem solving, not reporting—using AI and data science to surface patterns, leading indicators, and improvement opportunities that would not be found through traditional analysis.

This role sits at the intersection of data science, operational performance, and AI enablement. You will collaborate closely with analysts, engineers, and performance leaders, while also serving as a hub for AI-driven exploration and capability building across the team.

This position is remote.

Please be advised that during the interview, you will be required to keep your camera on, and your interviewer will be taking your picture for identification purposes if an offer letter is extended to you.

Apply data science and AI techniques to large, complex operational datasets to identify performance degradation, systemic issues, and improvement opportunities.

Design and implement code-first analyses and models that support automated or semi-automated performance opportunity discovery.

Use AI and advanced analytics to evaluate, prioritize, and improve the effectiveness of POAMs tied to contractual performance outcomes.

Work collaboratively with performance analysts, engineers, and stakeholders to translate operational problems into data-driven solutions.

Explore and apply context-appropriate AI techniques, balancing innovation with explainability and defensibility.

Build reusable analytical approaches, code, and methods that elevate the team’s overall capability in data science and AI.

Communicate insights clearly and credibly to technical and non-technical stakeholders, including leadership.

Support broader Navy performance initiatives (e.g., WAM) by extending methods and insights beyond SLR-focused use cases where appropriate.

Performance improvement opportunities are identified earlier, more consistently, and with greater confidence.

POAMs are better prioritized and more effective, with clearer data-driven justification.

AI-driven insights are adopted and trusted by the team and leadership.

Reusable data science and AI capabilities exist that others on the team can build upon.

The team increasingly operates in a code-first, AI-enabled performance management model.

NGEN

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com .

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