Data Scientist (Applied AI – Performance Management) at Leidos

, , United States -

Full Time

Start Date

Immediate

Expiry Date

13 Jun, 26

Salary

157450.0

Posted On

15 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Artificial Intelligence, Machine Learning, Python, Advanced Analytics, Statistical Modeling, Forecasting, Pattern Detection, Performance Management, Data Analysis, Model Implementation, Explainability, Stakeholder Collaboration, Code Development, Risk Identification, Operational Datasets

Industry

Defense and Space Manufacturing

Description

Leidos is seeking a Data Scientist (Applied AI – Performance Management) to support a large, mission-critical U.S. Navy program. This role supports a Performance Management team focused on improving contractual and operational performance through the applied use of data science and artificial intelligence. This position is well-suited for a hands-on practitioner who enjoys working on real operational problems and using code-first, AI-enabled approaches to identify performance risks, surface non-obvious improvement opportunities, and enable more proactive performance management. The work primarily supports Service Level Requirements (SLRs) that govern program performance, with opportunities to extend insights and methods to broader Navy performance initiatives such as World Class Alignment Metrics (WAM). Primary Responsibilities Apply data science, advanced analytics, and AI techniques to large, complex operational datasets to identify performance degradation, systemic issues, and improvement opportunities Design and implement code-first analytical solutions and models that support automated or semi-automated discovery of performance improvement opportunities Use AI and data-driven methods to evaluate, prioritize, and improve the effectiveness of Plans of Action and Milestones (POAMs) tied to contractual outcomes Collaborate closely with performance analysts, engineers, and stakeholders to translate operational challenges into data-driven solutions Apply appropriate AI and machine learning techniques, balancing innovation with explainability, defensibility, and stakeholder trust Develop reusable analytical code, methods, and patterns that strengthen the team’s overall data science and AI capabilities Communicate insights clearly to both technical and non-technical audiences, including program leadership Support broader Navy performance initiatives by extending analytical methods beyond SLR-focused use cases when appropriate Basic Qualifications Bachelor’s degree with 4+ years of experience applying data science, machine learning, or AI to real-world operational or performance problems (additional experience may be considered in lieu of degree) Strong problem-framing skills and ability to operate effectively in ambiguous environments Proficiency in Python or similar programming languages for data analysis and modeling Experience working with large, messy, or heterogeneous datasets Ability to clearly and defensibly explain complex analytical results Demonstrated ability to collaborate effectively as part of a multidisciplinary team Must be able to obtain and maintain a Secret clearance Preferred Qualifications Experience with applied machine learning, statistical modeling, or AI techniques for pattern detection, prioritization, or forecasting Familiarity with operational performance metrics, service-level agreements, or contract-driven environments Experience balancing advanced analytical methods with the ability to clearly articulate complex concepts and build stakeholder trust Exposure to AI enablement efforts, reusable analytics frameworks, or platform-based approaches Experience supporting large-scale or enterprise environments, particularly within government or defense programs 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. Original Posting: March 3, 2026 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. Pay Range: Pay Range $87,100.00 - $157,450.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. Leidos 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 $17.2 billion for the fiscal year ended January 2, 2026. For more information, visit www.Leidos.com. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available here. Securing Your Data Leidos will never ask you to provide payment-related information at any part of the employment application process. And Leidos will communicate with you only through emails that are sent from a Leidos.com email address. If you receive an email purporting to be from Leidos that asks for payment-related information or any other personal information, please report the email to spam.leidos@leidos.com. Commitment and Diversity All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Responsibilities

The role involves applying data science, advanced analytics, and AI techniques to large operational datasets to identify performance degradation and improvement opportunities, primarily supporting Service Level Requirements (SLRs). Responsibilities include designing and implementing code-first analytical solutions and using AI methods to evaluate and improve the effectiveness of Plans of Action and Milestones (POAMs).