Statistician & Mathematician

Booz Allen Hamilton•Washington, DC
•$99,000 - $225,000

About The Position

As an advanced data scientist and researcher on Booz Allen’s National Security team, the Statistician & Mathematician leads complex data exploration and analytics projects for DoW and Intelligence clients. The role applies expertise in analytics, data science, AI, and machine learning to help clients and stakeholders understand data and produce actionable results. Work may involve programming languages such as SQL, R, or Python; operationalizing models; containerization; data architecture; and cloud computing platforms. The position applies innovative AI and machine-learning methodologies to inform sensitive policy decisions and support the protection of military personnel. The employee will develop skills in data science, AI, machine learning, operationalization, and predictive modeling, and may contribute to the field through peer-reviewed papers and major conference presentations. The company also provides access to online courses, current tools and methods, and opportunities to publish or present at conferences.

Requirements

  • 8 or more 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.
  • TS/SCI clearance with a polygraph.
  • Bachelor’s degree and 8 or more years of experience using scientific techniques such as mathematics, statistics, information science, AI, machine learning, probability modeling, data mining, data engineering, or data warehousing; alternatively, 12 or more years of experience using those scientific techniques 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.

Responsibilities

  • Lead complex data exploration and analytics projects.
  • Develop and apply statistical models and methods to evaluate data.
  • Correlate complex technical findings into graphical, written, visual, and verbal narrative products.
  • Apply AI and machine-learning methodologies to support sensitive policy decisions and military protection.
  • Operationalize models and use data architecture and cloud computing platforms in analytics work.
  • Work independently with minimal oversight and direction.
  • Contribute to the analytics field through opportunities such as peer-reviewed papers and conference presentations.

Benefits

  • Health, life, and disability benefits.
  • Financial and retirement benefits.
  • Paid leave.
  • Professional development.
  • Tuition assistance.
  • Work-life programs.
  • Dependent care.
  • Recognition awards for exceptional performance and demonstration of company values.
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