Data Scientist

Leidos; Chantilly (VA); On-site; USD 150,000 - 190,000; Full time

Job summary

Leidos in Chantilly, VA seeks a Senior Data Scientist to design, develop and analyze large data environments. You will consolidate diverse data sources and enable data-driven decisions across programs.

You will lead data quality initiatives, collaborate with software engineers and analysts, and support ML/AI lifecycle deployment in CI/CD workflows to deliver actionable insights for mission needs.

Qualifications

• Requires a bachelor’s degree and 12+ years of relevant experience, or a Master’s with 10+ years.
• Experience managing, integrating, or troubleshooting data flows between applications and systems.
• Understanding of how data is generated, transformed, transferred, and consumed across systems.
• Experience with data governance, data quality, integration, and related processes.
• Familiarity with CI/CD pipelines and how data processes integrate with app development.
• Experience with ML/AI capabilities and translating data challenges into solutions.

Responsibilities

• Design, develop, and implement methods to collect, integrate, transform, manage, and analyze large data sets.
• Develop advanced statistical concepts, queries, and automated processes to clean and model data.
• Analyze data flows between applications and identify improvements for quality and accessibility.
• Identify analytical data requirements and develop solutions supporting mission objectives.
• Collaborate with engineers and analysts to integrate data across environments.
• Support ML/AI capabilities by understanding data requirements and lifecycle.
• Maintain automated data processes and support data integration in CI/CD environments.
• Investigate complex data issues, determine root causes, and provide practical fixes.

Skills

Data modeling

Data quality

Data integration

ETL/ELT

CI/CD pipelines

Cloud computing

ML/AI concepts

Statistics

Problem solving

Education

Bachelor's degree

Master's degree

Tools

Splunk

ServiceNow ITSM/CMDB

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 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.

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.

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

US Citizenship is required

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.