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Leidos

Applied Data Scientist – Performance Management, AI Solutions

Leidos

. Develop practical solutions using Python, AI, data analytics, and automation for operational performance challenges .

Posted 10/15/2026full-timeRemote • United StatesJuniorMid-Level💰 $87,100 - $157,450 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and implementing AI-enabled solutions, data analytics, and automation to enhance operational performance. Proficient in Python programming and capable of translating complex data findings into actionable recommendations for diverse stakeholders.

Highest-signal resume keywords
Python ProgrammingAI-Enabled Solutions DevelopmentData AnalysisMachine Learning TechniquesStakeholder Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data-Driven SolutionsAutomation SolutionsApplied Machine LearningAnalytical Tools DevelopmentReusable Code DesignPrototypes DevelopmentOperational Performance MetricsContinuous ImprovementSQLData Pipelines
Soft Skills
Independent Problem-SolvingCollaborative MindsetResults-Oriented ApproachClear Communication
Tools & Technologies
AI APIsGitTestingDocumentationGenerative AILLMs
Certifications & Qualifications
Active DoD Secret Security Clearance
Industry Keywords
Contract-Driven EnvironmentsEnterprise EnvironmentsGovernment Environments

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Develop practical solutions using Python, AI, data analytics, and automation for operational performance challenges
  • Partner with analysts, engineers, and stakeholders to define requirements and deliver technical solutions
  • Build, test, refine, and implement reusable code, analytical tools, and AI-enabled workflows
  • Analyze operational data to identify risks, recurring issues, root causes, and performance improvement opportunities
  • Apply AI and machine learning to accelerate analysis, identify patterns, support decisions, and prioritize POAMs
  • Develop prototypes and proof-of-concept solutions and turn successful approaches into sustainable capabilities
  • Automate analytical processes and integrate data sources
  • Translate findings into recommendations, actions, and measurable improvements
  • Communicate findings and recommendations to technical and non-technical stakeholders
  • Support AI adoption and capability development among teammates
  • Extend successful solutions across broader Navy performance initiatives

Requirements

What you’ll need
  • Bachelor's degree and 4–8 years of prior relevant experience, or Master's degree with 2–6 years of prior relevant experience; additional years of experience may be accepted in lieu of a degree
  • US citizenship
  • Active DoD secret security clearance
  • Experience developing and implementing data-driven, analytical, automation, or AI-enabled solutions
  • Strong Python programming skills
  • Experience working directly with stakeholders to define business needs and requirements
  • Experience using data analysis, applied machine learning, or AI techniques
  • Ability to work with large, complex, or imperfect datasets
  • Strong independent problem-solving skills
  • Ability to communicate technical concepts clearly to technical and non-technical audiences
  • Collaborative, results-oriented mindset
  • Preferred: AI-enabled applications, automation solutions, generative AI, LLMs, AI APIs, SQL, data pipelines, APIs, Git, testing, documentation, reusable code design, technical consulting, prototypes, operational performance metrics, continuous improvement, contract-driven environments, enterprise or government environments