Job Description

LCAT: Senior Computer Scientist / Contract P/PM

Clearance Level: Top Secret/SCI

Responsibilities:
This program maintains a Technical Subject Matter Expert (SME) as a Service (TSaaS) which provides technical, investigative, analytical, and data services to address requests from across the agency. These services include, but are not limited to, data analysis and visualization, tool and system development, and workflow automation. This program requires familiarity with large data sets, data analysis tools, data lifecycle and investigative procedures, tool and software development, and evolving mission requirements that necessitate the flexibility to respond to ad hoc and evolving requirements

• 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
• 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.
• Design and implement data science solutions that adhere to the principles of reproducible research, including maintaining clear documentation, using version control tools (e.g., Git), and ensuring that analyses are repeatable by others.
• Develop and maintain automated, reproducible workflows for data preparation, model development, and results reporting, facilitating effective collaboration and knowledge transfer across the team
• Champion the adoption of reproducibility standards throughout the program, providing guidance and training as necessary.
• Active TS or SCI and eligible for Poly
• Eight (8) years of relevant experience with a BS in Data Science, Mathematics, Information Science, Statistics, Engineering, Business Analytics, or related degree; OR Four (4) years of relevant experience with an MS degree in Data Science, Engineering, Mathematics, or related degree.
• High proficiency in Python.

 

Education Level:
8 years of relevant experience with a BS in Computer Science, or
6 years of relevant experience with a MS in Computer Science