Data Scientist
At a glance
Mid-level Data Science role at Leidos. Chantilly · full-time · $131,300–$237,350 base.
dataroles summary, based on the employer's posting.
What you'll do
- Build processes that bring complex data together, reshape it, and make it usable for analysis
- Apply statistical methods, algorithms, queries, and automation to clean, combine, model, and assess data
- Trace data movement across applications, then address weaknesses in quality, integrity, access, and usability
- Turn operational and mission data needs into analytical requirements and solutions
- Work with technical teams on data integration, ML/AI preparation, automated pipelines, root-cause investigations, and clear findings
What you bring
- A bachelor’s degree plus at least twelve years of relevant work, or a master’s degree with at least ten; equivalent experience may replace a degree
- At least six years handling or diagnosing data movement between applications or systems
- You can identify analytical data needs, choose suitable sources and structures, and solve complex technical problems with data
- You understand dataset stewardship, data quality and integration, CI/CD workflows, and how ML/AI uses data
- An active TS/SCI clearance with Polygraph and U.S. citizenship are required
Who this fits
This is a senior-level role for someone who can connect application data flows to analytical and operational needs, while communicating technical risks and solutions to teams and leadership. The position is based in Chantilly, Virginia. Active TS/SCI clearance with Polygraph and U.S. citizenship are required.
From the employer
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 analyze 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 analyze 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 analyzing 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 utilize, 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 visualizations, 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, 2026For 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 - $237,350.00The 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.
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