Knowledge Management Subject Matter Expert

CACI•Charlottesville, VA

About The Position

CACI is seeking a Data Scientist to support the Defense Intelligence Agency’s Data Science, Analysis, and Targeting 2 (DSAT2) program in Charlottesville, Virginia. The role supports the delivery of intelligence insights for national security challenges. The successful candidate will collaborate with government, military, and contractor partners to design and develop customized applications, tools, and workflows that improve all-source data exploitation, visualization, and analysis. The role involves analyzing complex datasets, automating data processes, maintaining data models, and assessing statistical approaches. It requires independent data science and data engineering work and the preparation of detailed reports. An active TS/SCI clearance with polygraph is required.

Requirements

Active TS/SCI clearance with polygraph.
Master's degree in mathematics, statistics, operations research, engineering, or science, or equivalent experience.
At least 6 years of data science or data engineering experience, including demonstrated ability to produce comprehensive written reports.
Proficiency with statistical tools such as Python, MATLAB, SPSS, SAS, S-PLUS, and R.
Proficiency with SharePoint and Tableau.
Strong programming skills for extracting, transforming, and cleaning multi-terabyte datasets.
Significant hands-on data science or data engineering experience within the past 2 years.

Nice To Haves

Experience using data visualization tools such as Tableau to build and maintain dashboards.
Skills in Python, JavaScript, RStudio, and PowerShell.
Experience designing and developing data processing, exploitation, and analysis tools within the JWICS environment.

Responsibilities

Apply statistical methods to analyze large, complex datasets and extract meaningful insights.
Automate and optimize processes for data extraction, cleaning, transformation, and analysis.
Maintain and refine data models to ensure accuracy, relevance, and usability.
Validate and assess statistical approaches used in existing models and algorithms.
Perform data science and data engineering tasks independently and with minimal guidance.
Prepare clear, detailed reports explaining methodologies, results, and their impact on assigned issues.
Collaborate with government, military, and contractor partners to design and develop customized applications, tools, and workflows for data exploitation, visualization, and analysis.