Senior Data Scientist — TS/SCI Ready for Mission-Critical Analytics

Leidos LLC; Englewood (CO); On-site; USD 128,000 - 175,000; Full time

Job summary

Leidos is seeking a highly skilled data analytics professional to assemble large datasets, build statistical models, and develop scalable data pipelines. The role involves extracting from diverse sources, testing hypotheses, and reporting insights through dashboards to support decision making.

You will work with Python/R, SQL, and API interfaces, ensuring data quality and compliance while collaborating across teams to advance data integration initiatives and deliver actionable analytics to

Qualifications

• Experience extracting and analyzing data from various sources.
• Ability to manipulate data, analyze insights, and visualize results.
• Experience creating and maintaining data pipelines and databases.
• Proficiency in Python or R and ML toolkits.
• Strong written and oral communication for executive audiences.

Responsibilities

• Assemble large, complex datasets to meet requirements.
• Build and test statistical models and report findings.
• Develop data pipelines and automate data collection.
• Create dashboards for data analytics and decision support.
• Collaborate with stakeholders to drive data integration initiatives.
• Ensure data quality, security, and regulatory compliance.

Skills

Data extraction

Data analysis

Statistical modeling

Visualization

Executive communication

Technical writing

Problem solving

Collaboration

Education

Bachelor's degree in Data Science / Computer Science / Mathematics / Statistics or related field

Tools

MS Excel

MS Access

Python

R

SQL

APIs

Job description

Leidos is seeking a highly skilled data analytics professional to assemble large datasets, build statistical models, and develop scalable data pipelines. The role involves extracting from diverse sources, testing hypotheses, and reporting insights through dashboards to support decision making.

You will work with Python/R, SQL, and API interfaces, ensuring data quality and compliance while collaborating across teams to advance data integration initiatives and deliver actionable analytics to