Senior Data Scientist - Careers at Leidos
Leidos
Senior Data Scientist - Careers at Leidos
Job Description
Join Leidos' Chief Data & Analytics Office as a Senior Data Scientist
The Leidos Chief Data & Analytics Office (CDAO) is a high-growth organization driving the company's technology strategy. Our Operational AI (Ops.AI) division seeks a Senior Data Scientist to deliver high-impact solutions, translating complex business challenges into data-driven insights for mission-critical outcomes.
Primary Responsibilities
- Lead model development for predictive analytics in mission-critical applications.
- Collaborate with domain experts to apply advanced data science and ML techniques.
- Ensure data quality, integrity, and adherence to responsible AI principles.
- Communicate insights effectively to stakeholders for decision-making.
- Innovate by integrating latest data science and ML advancements.
Basic Qualifications
- Bachelor’s in quantitative field + 8+ years or Master’s + 6+ years as data scientist.
- Strong Python/R proficiency with libraries like pandas, scikit-learn, TensorFlow, PyTorch.
- Solid statistics, AI/ML, experimental design foundation.
- U.S. Citizen; able to obtain security clearance.
- Remote/hybrid flexibility.
Preferred Qualifications
- Defense, intelligence, or federal sector experience.
- Work with large/unstructured datasets (text, imagery).
- Cloud ML platforms (AWS SageMaker, Azure ML).
- Data viz tools (Tableau, Power BI).
- Generative AI and LLMs knowledge.
Pay Range: $107,900 - $195,050 USD yearly. At Leidos, we outthink and outpace the status quo for demanding missions. Original posting: January 6, 2026.
Locations
- Remote/Teleworker, United States, United States (Remote)
Salary
107,900 - 195,050 USD / yearly
107,900 - 195,050 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate
- Rintermediate
- Pandasintermediate
- Scikit-learnintermediate
- TensorFlowintermediate
- PyTorchintermediate
- Statisticsintermediate
- Machine Learningintermediate
- AIintermediate
- Data Visualizationintermediate
- Generative AIintermediate
- Large Language Modelsintermediate
Required Qualifications
- Bachelor’s degree in Data Science, Statistics, Computer Science or related field with 8+ years experience OR Master’s with 6+ years (experience)
- U.S. Citizen able to obtain security clearance (experience)
- Proficiency in Python or R with data science libraries (experience)
- Foundation in statistics, AI/ML, experimental design (experience)
- Experience with large/unstructured datasets preferred (experience)
- Cloud platforms like AWS SageMaker or Azure ML preferred (experience)
Responsibilities
- Lead development of predictive models and data-driven insights for mission-critical applications
- Collaborate with domain experts to solve complex operational challenges using data science and ML
- Ensure data quality, integrity, and ethical AI practices
- Communicate analytical findings to technical and non-technical stakeholders
- Stay current with data science trends and integrate innovations
Benefits
- general: Remote/hybrid work flexibility
- general: Competitive pay range $107,900 - $195,050
- general: High-growth organization in Chief Data & Analytics Office
- general: Opportunity to work on mission-critical defense projects
- general: Collaboration with top experts in Ops.AI division
- general: Professional development in cutting-edge AI/ML technologies
Tags & Categories
Answer 10 quick questions to check your fit for Senior Data Scientist - Careers at Leidos @ Leidos.
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Senior Data Scientist - Careers at Leidos
Leidos
Senior Data Scientist - Careers at Leidos
Job Description
Join Leidos' Chief Data & Analytics Office as a Senior Data Scientist
The Leidos Chief Data & Analytics Office (CDAO) is a high-growth organization driving the company's technology strategy. Our Operational AI (Ops.AI) division seeks a Senior Data Scientist to deliver high-impact solutions, translating complex business challenges into data-driven insights for mission-critical outcomes.
Primary Responsibilities
- Lead model development for predictive analytics in mission-critical applications.
- Collaborate with domain experts to apply advanced data science and ML techniques.
- Ensure data quality, integrity, and adherence to responsible AI principles.
- Communicate insights effectively to stakeholders for decision-making.
- Innovate by integrating latest data science and ML advancements.
Basic Qualifications
- Bachelor’s in quantitative field + 8+ years or Master’s + 6+ years as data scientist.
- Strong Python/R proficiency with libraries like pandas, scikit-learn, TensorFlow, PyTorch.
- Solid statistics, AI/ML, experimental design foundation.
- U.S. Citizen; able to obtain security clearance.
- Remote/hybrid flexibility.
Preferred Qualifications
- Defense, intelligence, or federal sector experience.
- Work with large/unstructured datasets (text, imagery).
- Cloud ML platforms (AWS SageMaker, Azure ML).
- Data viz tools (Tableau, Power BI).
- Generative AI and LLMs knowledge.
Pay Range: $107,900 - $195,050 USD yearly. At Leidos, we outthink and outpace the status quo for demanding missions. Original posting: January 6, 2026.
Locations
- Remote/Teleworker, United States, United States (Remote)
Salary
107,900 - 195,050 USD / yearly
107,900 - 195,050 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate
- Rintermediate
- Pandasintermediate
- Scikit-learnintermediate
- TensorFlowintermediate
- PyTorchintermediate
- Statisticsintermediate
- Machine Learningintermediate
- AIintermediate
- Data Visualizationintermediate
- Generative AIintermediate
- Large Language Modelsintermediate
Required Qualifications
- Bachelor’s degree in Data Science, Statistics, Computer Science or related field with 8+ years experience OR Master’s with 6+ years (experience)
- U.S. Citizen able to obtain security clearance (experience)
- Proficiency in Python or R with data science libraries (experience)
- Foundation in statistics, AI/ML, experimental design (experience)
- Experience with large/unstructured datasets preferred (experience)
- Cloud platforms like AWS SageMaker or Azure ML preferred (experience)
Responsibilities
- Lead development of predictive models and data-driven insights for mission-critical applications
- Collaborate with domain experts to solve complex operational challenges using data science and ML
- Ensure data quality, integrity, and ethical AI practices
- Communicate analytical findings to technical and non-technical stakeholders
- Stay current with data science trends and integrate innovations
Benefits
- general: Remote/hybrid work flexibility
- general: Competitive pay range $107,900 - $195,050
- general: High-growth organization in Chief Data & Analytics Office
- general: Opportunity to work on mission-critical defense projects
- general: Collaboration with top experts in Ops.AI division
- general: Professional development in cutting-edge AI/ML technologies
Tags & Categories
Answer 10 quick questions to check your fit for Senior Data Scientist - Careers at Leidos @ Leidos.
Related Books and Jobs