Senior Data Scientist (TS/SCI) — Geospatial ML & Analytics

CACI International; Denver (CO); On-site; USD 82,000 - 172,000; Full time

Job summary

CACI International is seeking a Senior Data Scientist to apply advanced analytics and machine learning to NGA mission problems in a geospatial context. You will lead data science practices, collaborate with analysts, and deploy analytic capabilities across multi-team Agile environments.

The role emphasizes building scalable data pipelines, developing visualizations, and mentoring mid-level scientists while engaging with mission users to translate requirements into deployed software.

Qualifications

• 8+ years of data science, analytics, or related engineering experience.
• Expert proficiency in Python (or R) for data manipulation, modeling, and analysis.
• Experience developing and deploying machine learning models into production environments.
• Strong SQL skills and experience with large-scale data platforms.
• Demonstrated experience with data visualization tools and techniques.

Responsibilities

• Design, develop, and deploy analytic models and machine learning solutions against large-scale structured and unstructured datasets.
• Build and automate data processing pipelines for collection, cleaning, transformation, and enrichment.
• Develop visualizations and analytic products that communicate complex findings to technical and non-technical audiences.
• Collaborate with mission analysts to translate analytical requirements into deployed software capabilities.
• Integrate analytic capabilities with program systems and services in coordination with development teams.
• Evaluate model performance, drive iterative improvement, and document methodologies.
• Mentor mid-level data scientists and promote analytic best practices across the program.

Skills

Python

SQL

Data visualization

Machine learning

R

Education

Bachelor’s degree in Data Science, Computer Science, Mathematics, or Statistics

Job description

CACI International is seeking a Senior Data Scientist to apply advanced analytics and machine learning to NGA mission problems in a geospatial context. You will lead data science practices, collaborate with analysts, and deploy analytic capabilities across multi-team Agile environments.

The role emphasizes building scalable data pipelines, developing visualizations, and mentoring mid-level scientists while engaging with mission users to translate requirements into deployed software.