Data Scientist

Leidos LLC; Chantilly (VA); On-site; USD 131,000 - 237,000; Full time

Benefits offered by this job

Health benefits

Income protection

Paid leave

Job summary

Leidos is seeking a Senior Data Scientist to support an upcoming program in Chantilly, VA. The role provides senior-level expertise in designing, developing, integrating, and analyzing complex data environments.

The candidate will consolidate, transform, and analyze structured and unstructured data from diverse sources to enable data-driven decisions for operations and mission needs. Responsibilities include designing data collection and integration methods, applying advanced statistical

Qualifications

• Requires a bachelor’s degree and 12+ years of relevant experience, or Masters degree with 10+ years of experience.
• 6+ years of experience managing, integrating, or troubleshooting data flows between applications and/or systems.
• Strong understanding of how application data is generated, managed, transformed, transferred, and consumed across interconnected systems.
• Experience with dataset management, data quality, data integration, and associated processes.
• Understanding of software development and CI/CD pipelines and how data processes integrate with application development and deployment environments.
• Understanding of how machine learning and artificial intelligence capabilities utilise, process, and derive value from data.

Responsibilities

• Design, develop, and implement methods to collect, integrate, transform, manage, and analyse large datasets from disparate sources.
• Develop and apply advanced statistical concepts, algorithms, queries, and automated processes to clean, model, integrate, and evaluate structured and unstructured data.
• Analyze complex data flows between applications and identify opportunities to improve data quality, integrity, accessibility, and usability.
• Identify analytical data requirements and develop solutions to support operational, business, and mission objectives.
• Collaborate with software engineers, data engineers, system administrators, analysts, and other technical stakeholders to integrate and leverage data across applications and environments.
• Support the development and integration of ML/AI capabilities by understanding data requirements, data preparation, and the use of data throughout the ML/AI lifecycle.

Skills

Statistical analysis

Data integration

Data quality

CI/CD pipelines

Machine learning

Data governance

Communication with leadership

Education

Bachelor’s degree

Master’s degree

Tools

ServiceNow

Splunk

Cameo

MBSE

Job description

Leidos is seeking a Senior Data Scientist to support an upcoming program in Chantilly, VA. This role will provide senior-level expertise in the design, development, integration, and analysis of complex data environments. The successful candidate will develop methods, processes, and systems to consolidate, transform, manage, and analyse structured and unstructured data from diverse and disparate sources. The Senior Data Scientist will work across applications and data environments to identify analytical data requirements, improve data quality and accessibility, develop analytical solutions, and enable the effective use of data for operational and mission needs. The role requires the ability to understand complex data flows and systems, identify issues and dependencies, and translate technical data challenges into actionable solutions for both technical teams and leadership.

Primary Responsibilities

• Design, develop, and implement methods and processes to collect, integrate, transform, manage, and analyse large and complex datasets from disparate sources.
• Develop and apply advanced statistical concepts, algorithms, queries, and automated processes to clean, model, integrate, and evaluate structured and unstructured data.
• Analyze complex data flows between applications and identify opportunities to improve data quality, integrity, accessibility, and usability.
• Identify analytical data requirements and develop solutions to support operational, business, and mission objectives.
• Evaluate data structures, sources, interfaces, and dependencies to identify gaps, inconsistencies, and opportunities for improvement.
• Collaborate with software engineers, data engineers, system administrators, analysts, and other technical stakeholders to integrate and leverage data across applications and environments.
• Support the development and integration of ML/AI capabilities by understanding data requirements, data preparation, and the use of data throughout the ML/AI lifecycle.
• Develop and maintain automated data processes and support data integration within CI/CD environments.
• Investigate complex data and system issues, determine root causes, and develop practical solutions.
• Communicate technical findings, data issues, risks, and recommended solutions clearly to technical teams and program leadership.
• Contribute to data standards, governance, documentation, and dataset management processes.

Basic Qualifications

• Requires a bachelor’s degree and 12+ years of relevant experience, or Masters degree with 10+ years of experience.
• Additional years of experience may be considered in lieu of a degree.
• 6+ years of experience managing, integrating, or troubleshooting data flows between applications and/or systems.
• Strong understanding of how application data is generated, managed, transformed, transferred, and consumed across interconnected systems.
• Demonstrated experience analysing complex technical problems and developing practical, data-driven solutions.
• Experience identifying analytical data requirements and determining appropriate data sources, structures, and processes to support those requirements.
• Experience with dataset management, data quality, data integration, and associated processes.
• Understanding of software development and CI/CD pipelines and how data processes integrate with application development and deployment environments.
• Understanding of how machine learning and artificial intelligence capabilities utilise, process, and derive value from data.

Clearance

• Active TS/SCI clearance with Polygraph is required to be considered for this position.
• US Citizenship is required.

Preferred Qualifications

• Experience with ServiceNow, particularly ITSM and CMDB.
• Experience with Splunk or other enterprise data/logging platforms.
• Experience with Cameo or other systems engineering/model-based systems engineering (MBSE) tools.
• Experience developing reports, dashboards, data visualisations, or other analytical products for leadership and operational stakeholders.
• Experience with data engineering, ETL/ELT processes, APIs, data pipelines, or application-to-application data integration.
• Experience working with cloud, distributed, or enterprise-scale data environments.
• Experience supporting data analytics, machine learning, artificial intelligence, or other advanced data-driven capabilities.
• Experience documenting data architectures, data flows, interfaces, and system dependencies.

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: September 22, 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 $131,300.00 - $237,350.00 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.

Pay and Benefits

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 [e-mail].

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.

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.