Senior Data Scientist — Data Architecture & ML Enablement

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. 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