Senior Data Scientist - Geospatial Analytics Lead

CACI International Inc; Denver (CO); On-site; USD 82,100 - 172,400; Full time

Job summary

CACI International Inc. is seeking a Senior Data Scientist to apply advanced analytics and machine learning to NGA mission problems.

You will work at the intersection of data science and geospatial intelligence, turning large, complex datasets into decision advantage and collaborating with analysts to shape capabilities from concept to deployment. You will lead data science practices in a multi-team Agile environment, mentor mid-level scientists, and contribute to the ongoing evolution of

Qualifications

• Bachelor's degree in a relevant field or equivalent experience.
• 8+ years of data science, analytics, or related engineering experience.
• Expert proficiency in Python (or R) for data manipulation, modeling, and analysis.

Responsibilities

• Design, develop, and deploy analytic models and ML solutions for large datasets.
• Build and automate data processing pipelines for collection, cleaning, transformation, and enrichment.
• Develop visualizations and analytic products to communicate findings to technical and non-technical audiences.
• Collaborate with mission analysts to translate 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 viz

ML deployment

Security clearance

Education

Bachelor's degree in relevant field

Job description

CACI International Inc. is seeking a Senior Data Scientist to apply advanced analytics and machine learning to NGA mission problems.

You will work at the intersection of data science and geospatial intelligence, turning large, complex datasets into decision advantage and collaborating with analysts to shape capabilities from concept to deployment. You will lead data science practices in a multi-team Agile environment, mentor mid-level scientists, and contribute to the ongoing evolution of