Data Scientist

Booz Allen Hamilton Inc.•Springfield, VA

49d•$77,600 - $176,000

About The Position

As a data scientist supporting a security client, you will use your expertise to prepare annual and monthly reports summarizing the findings and lessons learned related to reports for leadership. You will produce sophisticated analytic models, triage capabilities, and dashboard metrics for Continuous Evaluation and Vetting (CE/CV) Investigators using Commercial off the Shelf Software in combination with all available CE/CV reportable information, such as polygraphs, eReport, walk-ins, referrals, Rap Back, DNI CE alerts, emails, and EAFR. You will develop a dashboard capability for CE/CV Investigators that will allow triggers to be efficiently prioritized and worked on. As a data scientist, you will conduct text mining, data infrastructure, and data visualization work for the client. In this role, you will also develop a process to integrate security and risk management activities into the CE/CV development life cycle following the Risk Management Framework. Join us. The world can't wait.

Requirements

7+ years of experience in data science, mathematics, or a scientific field
Experience using COTS statistical software for advanced statistical analysis of operational tools and data visualization
Experience with data mining
Experience using software packages used for advanced statistical analysis of operational data and tools for data visualization
Ability to develop, manipulate, and maintain databases
Active TS/SCI clearance; willingness to take a polygraph exam
Bachelor's degree and 7+ years of experience in statistics, image science, remote sensing, earth science, or physical science, or 11+ years of experience in statistics, image science, remote sensing, earth science, or physical science in lieu of a degree

Nice To Haves

Ability to write clearly and concisely

Responsibilities

Prepare annual and monthly reports summarizing findings and lessons learned.
Produce sophisticated analytic models, triage capabilities, and dashboard metrics for Continuous Evaluation and Vetting (CE/CV) Investigators.
Develop a dashboard capability for CE/CV Investigators to efficiently prioritize triggers.
Conduct text mining, data infrastructure, and data visualization work.
Develop a process to integrate security and risk management activities into the CE/CV development life cycle following the Risk Management Framework.