Senior Data Scientist

Castalia Systems•Arlington, VA

1d•Onsite

About The Position

Castalia Systems is currently searching for a Senior Data Scientist who will leverage advanced data science, Python, AI/ML, statistical analysis, and ABI tools and tradecraft to analyze, integrate, and visualize complex mission data. This role will develop dashboards, perform data quality and preprocessing activities, and apply machine learning techniques to support actionable intelligence and mission-focused decision-making.

Requirements

Bachelor’s degree in an area related to the labor category (i.e., Data Science/Engineering, IT, Computer Science, Information Science) from a college or university accredited by an agency recognized by the U.S. Department of Education or 7 years of experience conducting data science support, with at least a portion of the experience within the last 2 years
11 years of specific experience without a degree may be considered
Produce data cleaning, basic analysis, and preparation for visualization
Develop dashboards and perform routine data quality checks
Perform data preprocessing, data integration, quality checks and assurance, and complex data visualization creation
Develop dashboards with tools like Tableau or Power BI, and apply AI/ML models for unstructured data analysis
Active TS/SCI with eligibility to obtain a CI Polygraph
Must be a U.S. Citizen

Nice To Haves

Intelligence Community experience preferred

Responsibilities

Develop and maintain Python-based data processing and analytical workflows to support mission-driven geospatial and intelligence analysis.
Apply statistical analysis, hypothesis testing, and machine learning techniques to identify patterns, trends, anomalies, and relationships within complex datasets.
Design and implement automated methodologies to improve the efficiency, repeatability, and scalability of data analysis processes.
Integrate and analyze structured and unstructured data from multiple sources to support intelligence production and decision-making.
Develop and refine AI/ML models used for classification, pattern recognition, predictive analysis, and other advanced analytical use cases.
Create interactive dashboards, visualizations, and analytical products using Tableau, Power BI, or similar tools to communicate findings to mission stakeholders.
Conduct data validation, quality assurance, and performance assessments to ensure analytical outputs are accurate, reliable, and mission relevant.
Utilize Activity-Based Intelligence (ABI) tools and tradecraft to identify significant activities, relationships, behaviors, and patterns across datasets.
Collaborate with analysts, data engineers, and mission stakeholders to translate intelligence requirements into data science methodologies and analytical solutions.
Document data science methodologies, model performance, analytical assumptions, and results to ensure reproducibility and effective communication of findings.