CACI Data Scientist/Data Analyst working at USSOUTHCOM to support mission-critical data analytics initiatives to improve decision-making, counter threats, and enhance partnerships.
Requirements
- Proficiency in SQL, Python, R, or similar data science and engineering languages.
- Hands-on experience with DoD data platforms, specifically Advana and Maven Smart.
- Strong knowledge of data management, ETL processes, and data integration best practices.
- Experience with data analytics and AI in support of Geographic Combatant Command operations.
- Prior involvement in data-driven decision support for Operational Planning Teams (OPTs) and similar cross-functional DoD projects.
- Familiarity with cloud environments and big data platforms, including data security standards and compliance for government systems.
- Experience with open-source code repository platforms (e.g., GitHub) and Natural Language Processing platforms (e.g., Hugging Face).
Responsibilities
- Lead data processing and analytics initiatives to create and maintain a Common Intelligence Picture (CIP) and Common Operational Picture (COP) for real-time mission awareness.
- Enable effective integration across a multi-platform ecosystem, focusing on data platforms such as Advana and Maven Smart to improve data accessibility and operational efficiency.
- Design, test, and manage advanced data solutions, developing and deploying analytical models that drive data-driven insights.
- Work collaboratively with intelligence and operational teams to ensure mission data is accurate, timely, and accessible across all relevant systems.
- Support data literacy and promote data-driven decision-making by contributing to training and adoption efforts within the command.
- Support data ingestion, cleaning, transformation, and storage in Advana and Maven Smart.
- Build, test, and deploy machine learning and statistical models tailored to SOUTHCOM’s needs for data-driven insights, such as real-time intelligence analysis, strategic decision-making support, and operational planning.
Other
- Must have a Top Secret/Sensitive Compartmented Information (TS/SCI) Security Clearance.
- Bachelor’s degree in Data Science, Computer Science in Engineering, or a related field with at least 3 years of experience in data science or data engineering. Equivalent combinations of education and specialized experience, such as an Associate degree with 7 years of experience, or more than 11 years of recent specialized experience will also be considered.
- Percentage of Travel Required: Up to 10%
- Type of Travel: Local
- Proven track record of promoting data literacy and supporting data-driven organizational culture.
