
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.
🕒 October 15
🇺🇸 United States – Remote
💵 $87.1k - $157.4k / year
⏰ Full Time
🟢 Junior
🟡 Mid-level
📊 Data Scientist
🦅 H1B Visa Sponsor
👻 Ghost score 10%
Where this job comes from
Posted on Leidos's careers page, not through a job board
First seen by Remote Rocketship October 15
Still open on Leidos's site. Checked 22 minutes ago.

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.
• Develop and deliver solutions using Python, AI, data analytics, and automation for operational performance challenges • Partner with analysts, engineers, and stakeholders to understand business problems, define requirements, and recommend technical approaches • 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 improve POAM prioritization • Develop prototypes and proof-of-concept solutions and convert successful approaches into sustainable capabilities • Improve analytical processes through automation, data integration, and code-first workflows • Translate findings into recommendations, actions, and measurable performance improvements • Communicate findings and recommended actions to technical and non-technical stakeholders • Support AI adoption and capability development across the team • Extend successful solutions to broader Navy performance initiatives
• 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 gathering stakeholder needs, framing problems, defining requirements, and delivering practical solutions • Experience using data analysis, applied machine learning, or AI techniques • Ability to work with large, complex, or imperfect datasets • Strong problem-solving skills and ability to independently develop and implement solutions • Ability to communicate technical concepts to technical and non-technical audiences • Experience with AI-enabled applications, automation solutions, or decision-support tools using Python and modern development frameworks • Experience with generative AI, LLMs, AI APIs, or related tools • Experience with SQL, data pipelines, APIs, or integrating multiple data systems • Familiarity with Git, version control, testing, documentation, and reusable code design • Experience in technical consulting, analytics consulting, solutions engineering, or business-facing development • Experience developing prototypes and iterating based on user feedback • Familiarity with operational performance metrics, service-level agreements, continuous improvement, or contract-driven environments • Experience supporting large-scale enterprise or government environments
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