Data Scientist - Mid

CACI • Denver, CO

2d • Hybrid

About The Position

Apply data science and analytics to real mission problems for the National Geospatial-Intelligence Agency (NGA). Join a collaborative team turning large, complex geospatial datasets into insights analysts can act on. Work with modern Python-based tooling in an Agile, mission-focused delivery environment. Grow your skills alongside senior data scientists, engineers, and mission stakeholders.

Requirements

• Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (equivalent experience accepted).
• 4+ years of data science or analytics experience.
• Proficiency in Python (or R) and SQL for data manipulation and analysis.
• Experience applying statistical analysis, classification, regression, or clustering techniques.
• Experience with data visualization tools (matplotlib, Tableau, or similar).
• Security Clearance (TS/SCI) with willingness to undergo polygraph examination.

Nice To Haves

• Exposure to geospatial data and tools (ArcGIS, QGIS, GeoPandas).
• Familiarity with machine learning frameworks and model deployment.
• Experience operating within SAFe or Agile delivery frameworks.

Responsibilities

• Develop analytic models and data processing workflows against structured and unstructured datasets.
• Clean, filter, transform, and enrich data to support exploratory and production analytics.
• Build visualizations and dashboards for exploratory and comparative analysis.
• Support integration of analytic capabilities into program systems alongside development teams.
• Collaborate with analysts and Product Owners to refine analytic requirements into working solutions.
• Document methodologies, assumptions, and model behavior.
• Participate in Agile ceremonies and deliver within sprint and PI commitments.

Benefits

• Flexible time off
• Robust learning resources
• Competitive compensation
• Comprehensive benefits such as healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level