Computer Scientist, Senior

Booz Allen Hamilton•Usa, DC

10d•Remote

About The Position

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

12+ years of experience correlating complex technical findings into graphical, written, visual, and verbal narrative products
5+ years of experience using data science programming languages such as Python or R
Experience with version control tools, including git, GitLab, GitHub, or Bitbucket
Leveraging mathematics, statistics, and data mining algorithms to analyze performance, proactively identify quality risks, and drive continuous process improvement
Ability to continuously review, evaluate, and update technical documentation to ensure alignment with evolving governance and program standards
Active TS/SCI clearance; willingness to take a polygraph exam
Bachelor’s degree and 17+ years of experience with scientific techniques such as mathematics, statistics, information science, AI, machine learning, probability modeling, data mining, data engineering, or data warehousing, Master's degree and 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, or 21+ 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 providing best-practice recommendations on managing data within hardware, software, and bandwidth constraints
Experience with modeling and simulation
Experience evaluating AI system performance, robustness, and fairness
Ability to work a non-standard or shift schedule
TS/SCI clearance with a polygraph

Responsibilities

Lead complex data exploration and analytics projects.
Evaluate AI methodologies to make a real-world impact on AI usage in strategic intelligence.
Grow skills in continuous auditing, testing, evaluation, verification, and validation (TEVV) and AI risk mitigation.
Guide a team that serves critical missions from end to end.