Data Scientist – Applied AI, Performance Management

🔥 12 hours ago

🇺🇸 United States – Remote

💵 $87.1k - $157.4k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Data Scientist

🦅 H1B Visa Sponsor

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👻 Ghost score 0%

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Leidos

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1969

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Leidos is a leading systems integrator in science, technology, and engineering, providing solutions that transform and enable the missions of its customers. The company operates across various markets, including aviation, defense, energy, government, healthcare, intelligence, science, and space. Leidos is involved in AI, digital modernization, cyber operations, and integrated and mission software systems. With a commitment to diversity, equity, inclusion, and sustainability, Leidos also engages in charitable efforts and community enrichment programs. Additionally, it contributes to developing solutions for counter-unmanned aerial systems and electric vehicle infrastructure for military applications.

📋 Description

• 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

🎯 Requirements

• Bachelors and 4 – 8 years of prior relevant experience or Masters with 2 – 6 years of prior relevant experience • Additional years of experience may be accepted in lieu of a degree • US citizenship with the ability to obtain and maintain an active DoD Secret security clearance • Experience applying data science, machine learning, or AI to real-world operational or performance problems • Strong problem-framing skills: ability to understand ambiguous problems, identify relevant data, and determine appropriate analytical approaches • Proficiency in Python or similar languages for data analysis and modeling • Experience working with large, messy, or heterogeneous datasets • Ability to explain complex analytical results clearly and defensibly • Collaborative mindset and comfort working as part of a multidisciplinary team • Experience with applied machine learning, statistical modeling, or AI techniques used for pattern detection, prioritization, or forecasting • Familiarity with operational performance metrics, service-level agreements, or contract-driven environments • Experience balancing advanced methods with explainability and stakeholder trust • Exposure to AI enablement, platform thinking, or reusable analytics frameworks • Experience supporting large-scale or enterprise environments