Statistician and Mathematician

Booz Allen Hamilton•Washington, DC

1d•$99,000 - $225,000

About The Position

Statistician and Mathematician The Opportunity: As an analytics professional, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence (AI). If you care about moving a mission forward as much as advancing the field of data science, this is the opportunity for you. Your deep data science expertise coupled with an original approach to your work will help clients and stakeholders make sense of their data and encourage actionable results. We’re looking for someone like you to lead complex data exploration and analytics projects through your experience with statistics for the Department of Defense. As an advanced data scientist and researcher on our national security team, you’ll evaluate AI methodologies to make a real-world impact on AI usage in strategic intelligence. You’ll grow your skills in continuous auditing, testing, evaluation, verification, and validation (TEVV), and AI risk mitigation, to shape the future of analytics through a variety of means. We’ll keep you sharp and moving forward in your career, with access to online courses and opportunities to publish or present at conferences. Whether you’re using AI to improve government efficiency or developing new TEVV procedures, you’ll guide a team that serves critical missions from end to end. Join us. The world can’t wait.

Requirements

8+ years of experience correlating complex technical findings into graphical, written, visual, and verbal narrative products
Experience developing and applying statistical models and methods to evaluate data
Experience working on classified networks and in support of DoD or IC clients
Ability to work independently with minimal oversight and direction
Active TS/SCI clearance; willingness to take a polygraph exam
Bachelor’s degree and 8+ years of experience with scientific techniques such as mathematics, statistics, information science, AI, machine learning, probability modeling, data mining, data engineering, or data warehousing, or 12+ years of experience with scientific techniques such as mathematics, statistics, information science, AI, machine learning, probability modeling, data mining, data engineering, or data warehousing, in lieu of a degree

Nice To Haves

Experience reviewing and evaluating technical documentation for compliance with applicable standards
Experience developing and executing TEVV procedures
Experience with multi-INT analytics
Experience evaluating AI system performance, robustness, and fairness
TS/SCI clearance with a polygraph