Principal Data Scientist - Careers at Leidos
Leidos
Principal Data Scientist - Careers at Leidos
Job Description
Join Leidos as a Principal Data Scientist in our high-growth Chief Data & Analytics Office (CDAO)
Leidos is revolutionizing technology strategy through our Operational AI (Ops.AI) division. We're seeking an innovative Principal Data Scientist to deliver high-impact solutions that transform complex business challenges into mission-critical outcomes. This remote role empowers you to lead advanced analytics in dynamic environments, collaborating with top experts to optimize decision-making for national priorities.
Primary Responsibilities
- Drive end-to-end data science projects: from data exploration and model development to validation and scalable deployment.
- Leverage machine learning, predictive modeling, and statistical techniques on large, complex datasets for actionable insights.
- Partner with stakeholders to translate business needs into technical requirements.
- Mentor junior team members on ML best practices and advanced analytics.
- Uphold rigorous quality standards and trusted AI principles.
- Clearly communicate findings to diverse audiences, influencing data-driven decisions.
- Champion cutting-edge AI/ML innovations to tackle emerging challenges.
Basic Qualifications
- Bachelor's in quantitative field +12 years or Master's +10 years data science experience.
- Full-cycle project leadership from concept to production.
- Expertise in Python/R, libraries like pandas, scikit-learn, TensorFlow, PyTorch.
- Strong ML, stats, and experimental design foundation.
- U.S. Citizen eligible for security clearance.
Preferred Qualifications
- Defense/intelligence sector experience.
- Handling unstructured data (text, imagery).
- Generative AI, LLMs, RAG knowledge.
- Big data tools (Spark, Hadoop) and cloud platforms (SageMaker, Azure ML).
- Data visualization with Tableau/Power BI.
- Project portfolio or open-source contributions.
At Leidos, we outthink and outpace the status quo. Pay Range: $131,300 - $237,350 USD (varies by experience, location, etc.). Original posting: January 6, 2026. Apply now to disrupt and innovate.
Locations
- Remote, United States, United States (Remote)
Salary
131,300 - 237,350 USD / yearly
Estimated Salary Rangehigh confidence
131,300 - 237,350 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate
- Rintermediate
- Machine Learningintermediate
- Statistical Modelingintermediate
- TensorFlowintermediate
- PyTorchintermediate
- scikit-learnintermediate
- pandasintermediate
- Generative AIintermediate
- Large Language Models (LLMs)intermediate
- Retrieval-Augmented Generation (RAG)intermediate
- Sparkintermediate
- Hadoopintermediate
- AWS SageMakerintermediate
- Azure MLintermediate
- Tableauintermediate
- Power BIintermediate
Required Qualifications
- Bachelor's degree in Data Science, Statistics, Computer Science or related field with 12+ years experience OR Master's with 10+ years (experience)
- Proven end-to-end data science project experience from conception to deployment (experience)
- Expertise in machine learning, statistical modeling, and experimental design (experience)
- U.S. Citizenship with ability to obtain and maintain security clearance (experience)
- Experience in defense, intelligence, or federal sectors (preferred) (experience)
- Work with large-scale or unstructured datasets (preferred) (experience)
Responsibilities
- Lead end-to-end model development from problem formulation to deployment
- Apply advanced machine learning, predictive modeling, and statistical analysis to complex datasets
- Collaborate with stakeholders and domain experts to define and execute data science tasks
- Mentor junior data scientists on analytics, ML techniques, and best practices
- Ensure quality, scalability, and responsible AI principles in solutions
- Communicate insights to technical and non-technical audiences
- Innovate with latest AI/ML advancements for mission-critical challenges
Benefits
- general: Competitive salary range $131,300 - $237,350
- general: Remote/Teleworker flexibility across US
- general: Comprehensive health, dental, and vision insurance
- general: 401(k) matching and retirement plans
- general: Professional development and mentorship opportunities
- general: Mission-driven work supporting national security
- general: Generous paid time off and flexible scheduling
Tags & Categories
Answer 10 quick questions to check your fit for Principal Data Scientist - Careers at Leidos @ Leidos.
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Principal Data Scientist - Careers at Leidos
Leidos
Principal Data Scientist - Careers at Leidos
Job Description
Join Leidos as a Principal Data Scientist in our high-growth Chief Data & Analytics Office (CDAO)
Leidos is revolutionizing technology strategy through our Operational AI (Ops.AI) division. We're seeking an innovative Principal Data Scientist to deliver high-impact solutions that transform complex business challenges into mission-critical outcomes. This remote role empowers you to lead advanced analytics in dynamic environments, collaborating with top experts to optimize decision-making for national priorities.
Primary Responsibilities
- Drive end-to-end data science projects: from data exploration and model development to validation and scalable deployment.
- Leverage machine learning, predictive modeling, and statistical techniques on large, complex datasets for actionable insights.
- Partner with stakeholders to translate business needs into technical requirements.
- Mentor junior team members on ML best practices and advanced analytics.
- Uphold rigorous quality standards and trusted AI principles.
- Clearly communicate findings to diverse audiences, influencing data-driven decisions.
- Champion cutting-edge AI/ML innovations to tackle emerging challenges.
Basic Qualifications
- Bachelor's in quantitative field +12 years or Master's +10 years data science experience.
- Full-cycle project leadership from concept to production.
- Expertise in Python/R, libraries like pandas, scikit-learn, TensorFlow, PyTorch.
- Strong ML, stats, and experimental design foundation.
- U.S. Citizen eligible for security clearance.
Preferred Qualifications
- Defense/intelligence sector experience.
- Handling unstructured data (text, imagery).
- Generative AI, LLMs, RAG knowledge.
- Big data tools (Spark, Hadoop) and cloud platforms (SageMaker, Azure ML).
- Data visualization with Tableau/Power BI.
- Project portfolio or open-source contributions.
At Leidos, we outthink and outpace the status quo. Pay Range: $131,300 - $237,350 USD (varies by experience, location, etc.). Original posting: January 6, 2026. Apply now to disrupt and innovate.
Locations
- Remote, United States, United States (Remote)
Salary
131,300 - 237,350 USD / yearly
Estimated Salary Rangehigh confidence
131,300 - 237,350 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate
- Rintermediate
- Machine Learningintermediate
- Statistical Modelingintermediate
- TensorFlowintermediate
- PyTorchintermediate
- scikit-learnintermediate
- pandasintermediate
- Generative AIintermediate
- Large Language Models (LLMs)intermediate
- Retrieval-Augmented Generation (RAG)intermediate
- Sparkintermediate
- Hadoopintermediate
- AWS SageMakerintermediate
- Azure MLintermediate
- Tableauintermediate
- Power BIintermediate
Required Qualifications
- Bachelor's degree in Data Science, Statistics, Computer Science or related field with 12+ years experience OR Master's with 10+ years (experience)
- Proven end-to-end data science project experience from conception to deployment (experience)
- Expertise in machine learning, statistical modeling, and experimental design (experience)
- U.S. Citizenship with ability to obtain and maintain security clearance (experience)
- Experience in defense, intelligence, or federal sectors (preferred) (experience)
- Work with large-scale or unstructured datasets (preferred) (experience)
Responsibilities
- Lead end-to-end model development from problem formulation to deployment
- Apply advanced machine learning, predictive modeling, and statistical analysis to complex datasets
- Collaborate with stakeholders and domain experts to define and execute data science tasks
- Mentor junior data scientists on analytics, ML techniques, and best practices
- Ensure quality, scalability, and responsible AI principles in solutions
- Communicate insights to technical and non-technical audiences
- Innovate with latest AI/ML advancements for mission-critical challenges
Benefits
- general: Competitive salary range $131,300 - $237,350
- general: Remote/Teleworker flexibility across US
- general: Comprehensive health, dental, and vision insurance
- general: 401(k) matching and retirement plans
- general: Professional development and mentorship opportunities
- general: Mission-driven work supporting national security
- general: Generous paid time off and flexible scheduling
Tags & Categories
Answer 10 quick questions to check your fit for Principal Data Scientist - Careers at Leidos @ Leidos.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs