Logo
Karkidi

Data Scientist/Analyst Job at Karkidi in Great Falls Crossing

Karkidi, Great Falls Crossing, VA, United States

Save Job

The Opportunity:

As a CACI Data Scientist/Analyst working at SOCSOUTH, you will support mission-critical data analytics initiatives to improve decision-making, counter threats, and enhance partnerships. This position is PART-TIME.

Candidate shall perform the following tasks:

  1. 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.
  2. Enable effective integration across a multi-platform ecosystem, balancing Government of the Shelf (GOTS) data platforms such as ShadowView, Advana and Maven Smart, and Commercial off the Shelf (COTS) to improve data accessibility and operational efficiency.
  3. Design, test, and manage advanced data solutions, developing and deploying analytical models that drive data-driven insights.
  4. Work collaboratively with intelligence and operational teams to ensure mission data is accurate, timely, and accessible across all relevant systems.
  5. Support data literacy and promote data-driven decision-making by contributing to training and adoption efforts within the command.

Responsibilities:

  1. Integrate mission-specific data to support the development of a Common Intelligence Picture (CIP) and Common Operational Picture (COP), enhancing situational awareness and decision-making.
  2. Support data ingestion, cleaning, transformation, and storage in ShadowView, Advana and Maven Smart. Develop and manage ETL pipelines to ensure data accuracy, consistency, and accessibility.
  3. Build, test, and deploy machine learning and statistical models tailored to SOUTHCOM and SOCOM’s needs for data-driven insights, such as real-time intelligence analysis, strategic decision-making support, and operational planning.
  4. Implement processes for data verification, tagging, and structuring to maintain trusted, secure, and high-quality data resources. Ensure that data assets meet compliance standards and organizational requirements for secure access and usage.
  5. Work closely with internal and external stakeholders, including Directors, Chief Data Office at SOUTHCOM and SOCOM, intelligence teams, and operational units, to address data needs and deliver actionable insights that align with the command’s objectives.
  6. Utilize specialized knowledge in ShadowView, Advana and Maven Smart for data-driven solutions. Lead efforts to integrate new data sources into these platforms, ensuring interoperability across SOUTHCOM and SOCOM’s data environment.
  7. Contribute to data literacy initiatives by creating and delivering training materials for team members and partners. Promote data-driven decision-making practices within the directorate.
  8. Develop comprehensive documentation of data processes, models, and analytical findings. Generate reports to track progress on data and AI initiatives, ensuring alignment with the SOUTHCOM Campaign Plan and Command priorities.

Qualifications:

Required:

  1. Bachelor’s degree in Data Science, Computer Science, 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.
  2. Current Top Secret/Sensitive Compartmented Information (TS/SCI) Security Clearance.
  3. Strong knowledge of data management, ETL processes, and data integration best practices.

Desired:

  1. Prior involvement in data-driven decision support for Operational Planning Teams (OPTs) and similar cross-functional DoD projects.
  2. Familiarity with cloud environments and big data platforms, including data security standards and compliance for government systems.
  3. Proven track record of promoting data literacy and supporting data-driven organizational culture.
  4. Experience with open-source code repository platforms (e.g., GitHub) and Natural Language Processing platforms (e.g., Hugging Face).
  5. Hands-on experience with DoD data platforms, specifically ShadowView, Advana and Maven Smart.
  6. Proficiency in SQL, Python, R, or similar data science and engineering languages.
#J-18808-Ljbffr