Data Scientist, Mid

Booz Allen Hamilton•Washington, DC
•Onsite

About The Position

Booz Allen is seeking a Data Scientist to improve a client’s data science capability. The role involves working closely with the client to understand their questions and needs, analyzing data-rich environments, and using appropriate tools and frameworks to turn disparate data into objective answers that help leadership make informed decisions. The Data Scientist will help customers understand their data and how to use it, mentor teammates, and support the development of data science capability.

Requirements

  • At least 2 years of experience in statistics, data science, engineering, analytics, or computer science fields.
  • Experience collaborating in teams.
  • Experience supporting DoW or IC clients.
  • Ability to perform testing and evaluation of AI/ML models.
  • Active TS/SCI clearance and willingness to take a polygraph exam.
  • Bachelor’s degree, or at least 4 years of experience in statistics, data science, computer science, and social science in lieu of a degree.

Nice To Haves

  • Experience with GEOINT or LLMs.
  • Experience performing or supporting all-source analysis.
  • Excellent verbal and written communication skills.
  • Excellent interpersonal skills.
  • TS/SCI clearance with a polygraph.
  • Master’s degree in Quantitative Social Science, Statistics, Data Science, or Computer Science preferred.
  • Doctorate degree in Quantitative Social Science, Statistics, Data Science, or Computer Science is a plus.

Responsibilities

  • Work with the client to understand their questions and needs.
  • Analyze data-rich environments to find useful information.
  • Use tools and frameworks to transform disparate data into objective answers that support leadership decisions.
  • Help customers understand their data, what it means, and how they can use it.
  • Mentor teammates.
  • Perform testing and evaluation of AI/ML models.

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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