Overview
Skills
Job Details
Position Description: Serve as a Senior-level Data Scientist supporting the program, delivering advanced analytics, machine learning models, and data-driven insights to support counterterrorism investigations and operational decision-making. Collaborate with cross-functional teams to design, develop, and deploy scalable data solutions that align with mission objectives and evolving intelligence requirements.
Responsibilities:
· Possesses and applies comprehensive knowledge across key tasks and high impact assignments.
· Plans and leads major technology assignments.
· Evaluates performance results and recommends major changes affecting short-term project growth and success.
· Functions as a technical expert across multiple project assignments.
· May supervise others.
· Collaborate with nontechnical, national security investigators and analysts to understand their data science needs, suggest solutions, and complete the work in a timely manner.
· Lead and/or design machine learning (ML), statistical analysis, and data analysis tasks.
· Leverage existing and/or conduct custom Extract Transform Load (ETL) work to aggregate data from multiple repositories and condition the data to provide novel insights.
· Interpret data, identify features and model variables, assess the quality of model outputs, generate alternatives, and conduct remediation.
· Find and design new approaches to handling, analyzing, and using large volumes of data and/or data sets, and explore fundamental issues with data handling, search, and retention.
· Design new software code to improve data search processes, and design, test, and validate the quality of data and data processes.
· Automate routine workflows and data analysis steps to assist with workflow automation.
· Report results of analyses and provide actionable recommendations.
Requirements:
Active TS with SCI clearance with Full Scope Poly
13 years of relevant experience
High proficiency in Python.
Education Requirements:
13years of relevant experience with a MS in Computer Science
Location:
Washington, DC