Data Scientist

Booz Allen Hamilton•Hampton, VA
•$77,500 - $176,000•Hybrid

About The Position

As a Data Scientist at Booz Allen, you will use data science expertise and leadership to help clients solve complex challenges. You will work with clients to understand their questions and needs, investigate data-rich environments, and identify useful insights in structured and unstructured data. You will guide teammates and lead the development of algorithms and systems, selecting appropriate tools and frameworks to turn disparate data into objective answers that support informed decisions.

Requirements

  • At least 4 years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining.
  • At least 4 years of experience with statistical and general-purpose programming languages for data analysis.
  • At least 4 years of experience analyzing structured and unstructured data sources.
  • Experience designing a data pipeline for structured and unstructured data sources.
  • Experience developing predictive data models, quantitative analyses, and visualizations of targeted data sources.
  • Experience leading the development of solutions to complex problems.
  • Ability to communicate succinctly at a strategic level while maintaining technical credibility under scrutiny.
  • Secret clearance.
  • Bachelor’s degree.

Nice To Haves

  • Experience developing algorithms using R, Python, or SQL and NoSQL.
  • Experience with distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
  • Experience with visualization packages, including Plotly, Seaborn, or ggplot2.
  • TS/SCI clearance with a polygraph.

Responsibilities

  • Work closely with clients to understand their questions and needs.
  • Explore data-rich environments to find relevant information and insights.
  • Guide teammates and lead the development of algorithms and systems.
  • Select tools and frameworks to transform disparate data points into objective answers.
  • Provide clients with an understanding of data, its meaning, and how it can be used to inform decisions.
  • Lead the development of solutions to complex problems.

Benefits

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