Security-Cleared Data Scientist – Analytics & Pipelines

Leidos Inc; Englewood (CO); On-site; USD 108,000 - 195,000; Full time

Job summary

Leidos Inc. is seeking an experienced Data Scientist in Englewood, CO. The role focuses on assembling large data sets, building pipelines, and developing predictive models to support data-driven decisions across the enterprise.

The candidate will design and maintain data infrastructure, perform unstructured data analysis, create dashboards, and collaborate with cross-functional teams to drive analytics and improve operations. A strong background in Python/R and SQL is required.

Qualifications

• Bachelor of Science degree in a relevant technical field with 8+ years of experience (or additional experience in lieu of degree).
• Experience extracting and analyzing data from COTS products.
• Experience building data pipelines and normalizing data.
• Proficiency with Python and/or R and machine learning toolkits.
• Ability to present technical information to diverse audiences.

Responsibilities

• Assemble and analyze large, complex data sets to meet requirements.
• Build statistical models, test hypotheses, and report findings.
• Develop data pipelines and automate data collection/ETL processes.
• Create dashboards for data analytics and visualizations.
• Collaborate with stakeholders to drive data integration and insights.

Skills

Data analysis

Statistical modeling

Machine learning toolkits

Data visualization

Python

R

MS Excel

MS Access

Education

Bachelor of Science in Data Science / CS / Math / Stats or related field

Tools

SQL

API interfaces

Tableau

Web scraping

Data pipelines

Job description

Leidos Inc. is seeking an experienced Data Scientist in Englewood, CO. The role focuses on assembling large data sets, building pipelines, and developing predictive models to support data-driven decisions across the enterprise.

The candidate will design and maintain data infrastructure, perform unstructured data analysis, create dashboards, and collaborate with cross-functional teams to drive analytics and improve operations. A strong background in Python/R and SQL is required.