Project Overview:

This dynamic project supports the FBI in strengthening its mission-critical operations through the delivery of integrated technical, operational, and analytical services. The focus is on enhancing the FBI's enterprise systems by maintaining secure cloud environments such as AWS and Azure, while enabling advanced data capabilities through scalable ETL pipelines and the migration of custom-developed tools into enterprise platforms. In parallel, the team engages in forward-leaning research on emerging technologies including artificial intelligence, machine learning, IoT, and mobile messaging applications to inform next-generation solutions. As part of its operational mission, the project provides direct case support and real-time data analysis for high-profile events managed by the 24/7 operations center.

Responsibilities:

• 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.
• Collaborates with nontechnical, national security investigators and analysts to understand their data science needs, suggest solutions, and complete the work in a timely manner.
• Leads and/or design machine learning (ML), statistical analysis, and data analysis tasks.
• Leverages existing and/or conduct custom Extract Transform Load (ETL) work to aggregate data from multiple repositories and condition the data to provide novel insights.
• Interprets data, identify features and model variables, assess the quality of model outputs, generate alternatives, and conduct remediation.
• Finds and designs 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.
• Designs new software code to improve data search processes, and design, test, and validate the quality of data and data processes.
• Automates routine workflows and data analysis steps to assist with workflow automation.
• Reports results of analyses and provide actionable recommendations.

Required Qualifications:

• Minimum 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.

Required Experience:

• Demonstrate high level of proficiency in all functional responsibilities and expert knowledge of data science and/or data analytics with: High proficiency in Python

Benefits

Health premium (60%) paid by company, 401K matching retirement funds, LI, LTD, STD