Analytic Methodologist, Senior

Booz Allen HamiltonAurora, CO
Remote

About The Position

In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a statistician and mathematician at Booz Allen, you can use applicable skills to help turn these complex data sets into useful information to solve global challenges. Across private and public sectors—from fraud detection to cancer research to national intelligence—we need you to help find the answers in the data. On our team, you’ll use your leadership skills and statistics expertise to create real-world impact. You’ll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll guide teammates and lead the development of algorithms and systems. You’ll use the right combination of tools and mathematic principles to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used. 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 DoW 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 Testing, Evaluation, Verification, and Validation procedures or evaluating AI system performance, robustness, and fairness
  • Experience with AI governance
  • Ability to work a non-standard or shift schedule
  • TS/SCI clearance with a polygraph

Responsibilities

  • Use leadership skills and statistics expertise to create real-world impact.
  • Work closely with clients to understand their questions and needs.
  • Dig into data-rich environments to find pieces of the information puzzle.
  • Guide teammates and lead the development of algorithms and systems.
  • Use the right combination of tools and mathematic principles to turn sets of disparate data points into objective answers to advise clients as they make informed decisions.
  • Provide a deep understanding of the data, what it all means, and how it can be used.

Benefits

  • health
  • life
  • disability
  • financial
  • retirement benefits
  • paid leave
  • professional development
  • tuition assistance
  • work-life programs
  • dependent care
  • recognition awards program
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