Data Scientist, Mid

Booz Allen Hamilton•Washington, DC
•$77,600 - $176,000

About The Position

Booz Allen is seeking a mid-level Data Scientist to improve a client's data science capability. The role works closely with the client to understand questions and needs, analyzes a data-rich environment, mentors teammates, and selects tools and frameworks to turn disparate data into objective answers that help leadership make informed decisions. The Data Scientist helps customers understand their data and how to use it, applying data science to address challenges across public and private sectors.

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; TS/SCI clearance is required.
  • Bachelor’s degree, or 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 in one of these fields is a plus.

Responsibilities

  • Work with the client to understand their questions and needs.
  • Analyze data-rich environments to identify useful information and answer client questions.
  • Mentor teammates.
  • Use appropriate tools and frameworks to turn disparate data into objective answers for leadership decision-making.
  • Help customers understand their data, what it means, and how they can use it.
  • 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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