Data Scientist, Mid

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

About The Position

The Data Scientist will use leadership and analytical skills to improve a client’s data science capability. The role involves working closely with the client to understand questions and needs, analyzing data-rich environments, and applying appropriate tools and frameworks to turn disparate data into objective answers that support informed leadership decisions. The employee will mentor teammates and help clients understand their data and how to use it. The work supports data science applications across public and private sectors, including areas such as fraud detection, cancer research, and national intelligence.

Requirements

  • At least 3 years of experience in data science, engineering, analytics, statistics, 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 in Statistics, Data Science, Computer Science, or Social Science, or at least 4 years of experience in statistics, data science, computer science, or 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 clients to understand their questions and needs.
  • Analyze complex, structured and unstructured data to find useful information and answer client questions.
  • Select and apply suitable tools and frameworks to turn disparate data into objective insights for leadership decisions.
  • Mentor teammates.
  • Help clients understand their data 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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