Data Scientist

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

About The Position

As a Data Scientist at Booz Allen, you will use analytical skills and data science knowledge to help clients turn complex, structured and unstructured data into useful information. You will work closely with clients to understand their questions and needs, analyze data-rich environments, and develop algorithms and systems using appropriate tools and frameworks. Your work will transform disparate data into objective answers that support informed decisions and help clients understand the meaning and potential uses of their data. The role applies data science to challenges across private and public sectors, including areas such as fraud detection, cancer research, and national intelligence.

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 at least 3 years of experience in data science, engineering, analytics, statistics, or computer science; alternatively, at least 7 years of experience in one of these fields in lieu of a degree.

Nice To Haves

  • Experience authoring DoD product lines and using 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 complex, data-rich environments and identify useful information in disparate data.
  • Develop algorithms and systems to turn data into objective answers that help clients make informed decisions.
  • Test and evaluate artificial intelligence and machine learning 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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