Data Scientist

Booz Allen Hamilton•Washington, DC

About The Position

As a Data Scientist at Booz Allen, you will analyze complex structured and unstructured data to help clients solve challenges across public and private sectors. You will work with clients to understand their questions and needs, examine data-rich environments, and develop algorithms and systems using appropriate tools and frameworks. Your work will turn disparate data into objective answers and help clients make informed decisions. The role also involves testing and evaluating AI and machine learning models.

Requirements

  • Experience collaborating in teams.
  • Ability to perform testing and evaluation of AI and ML models.
  • Active TS/SCI clearance and willingness to take a polygraph exam.
  • A bachelor's degree in Quantitative Social Science, Statistics, Data Science, or Computer Science and 3 or more years of experience in data science, engineering, analytics, statistics, or computer science; alternatively, 7 or more years of experience in one of those fields in lieu of a degree.

Nice To Haves

  • Experience authoring DoD product lines and utilizing ICD 203 tradecraft standards.
  • Experience supporting DoW or IC clients.
  • Experience with data analytics, analysis, and visualization.
  • Knowledge of the intelligence cycle.
  • Ability to support AI governance work.
  • Excellent verbal and written communication skills.
  • Excellent interpersonal skills.
  • TS/SCI clearance with a polygraph.

Responsibilities

  • Collaborate with teams and work closely with clients to understand their questions and needs.
  • Analyze complex, data-rich environments and identify relevant information.
  • Develop algorithms and systems using appropriate tools and frameworks to turn disparate data into objective answers.
  • Test and evaluate AI and machine learning models.
  • Provide clients with a clear understanding of data and how it can inform decisions.

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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