Data Scientist

Booz Allen Hamilton•McLean, DC

About The Position

As a Data Scientist at Booz Allen, you will analyze complex structured and unstructured data to help clients solve problems across public and private sectors. You will collaborate 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 that support informed decisions and help clients understand what their data means and how it can be used. The role includes testing and evaluating AI and machine-learning models and collaborating in teams.

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.
  • Bachelor's degree in Quantitative Social Science, Statistics, Data Science, or Computer Science and 3+ years of experience in a data science, engineering, analytics, statistics, or computer science field; alternatively, 7+ years of experience in one of these 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 clients to understand their questions and needs.
  • Analyze data-rich environments and identify useful information within complex data sets.
  • Develop algorithms and systems using suitable tools and frameworks to turn disparate data into objective answers.
  • Help clients make informed decisions by explaining the meaning and potential uses of their data.
  • Perform testing and evaluation of AI and machine-learning models.
  • Collaborate as part of a team.

Benefits

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