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Job Description

Booz Allen Hamilton is recruiting a Data Scientist to support DoD leadership with data science analysis, project leadership, mentorship, and turning strategic questions into actionable insights. This onsite role is based in Alexandria, VA, with a salary range of USD 99,000 to 225,000 per year. The position requires a Bachelor's degree and at least six years of relevant experience, and it offers opportunities to collaborate across teams while helping advance mission objectives.

Responsibilities

  • Plan and perform statistical analyses on large, multi-source datasets, ensuring analytical rigor.
  • Create production-quality visualizations, plots, and dashboards for technical audiences and executives.
  • Lead data science initiatives from scoping to delivery, maintaining alignment with mission objectives.
  • Partner with stakeholders to translate strategic questions into analytic approaches and deliver actionable insights.
  • Handle ad hoc analytical requests in an agile workflow, balancing competing priorities and deadlines.
  • Mentor junior data scientists and establish standards for reproducible, well-documented analyses.
  • Communicate complex statistical findings to both technical teams and senior DoD leadership.

Requirements

  • Six or more years of experience in data science, statistical analysis, or quantitative research.
  • Six or more years building algorithms using R or Python with libraries such as pandas, NumPy, scikit-learn, or Tidyverse.
  • Six or more years analyzing structured and unstructured data sources.
  • Strong background in statistics including hypothesis testing, regression analysis, experimental design, and uncertainty quantification.
  • Experience managing large-scale data with SQL across multiple databases and data warehouses.
  • Experience with large-scale datasets and distributed computing frameworks such as Spark or Dask.
  • TS/SCI clearance.
  • Bachelor's degree.

Technologies

  • R
  • Python
  • pandas
  • NumPy
  • scikit-learn
  • Tidyverse
  • SQL
  • Spark
  • Dask
  • Databricks
  • Git

Benefits

  • Health, life, disability, financial, and retirement benefits
  • Paid leave
  • Professional development
  • Tuition assistance
  • Work-life programs
  • Dependent care
  • Recognition awards program

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