Data Scientist - Mid

Job Title: Data Scientist - MidJob Category: ScienceTime Type: Full timeMinimum Clearance Required to Start: TS/SCI with PolygraphEmployee Type: RegularPercentage of Travel Required: Up to 10%Type of Travel: Continental USAnticipated Posting End: 9/1/2026The Opportunity: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.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. Qualifications:Required: 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.Desired: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. -What You Can Expect: A culture of integrity.At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.An environment of trust.CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.A focus on continuous growth.Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.Since this position can be worked in more than one location, the range shown is the national average for the position.The proposed salary range for this position is: $69,100-$141,500CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.Department:Data Scientist