Data Scientist

Booz Allen HamiltonArlington, VA

About The Position

As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a Data Scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors—from fraud detection to cancer research to national intelligence—we need you to help find the answers in the data. On our team, you’ll use your analytical skills and data science knowledge to create real-world impact. You’ll work closely with your clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can’t wait.

Requirements

  • 2+ years of experience with data cleansing, analysis, visualization, API connections, or data mining
  • 2+ years of experience analyzing structured and unstructured data
  • 2+ years of experience working with Python, including leveraging several different libraries such as Pandas or Numpy
  • Experience developing predictive data models, quantitative analyses, or natural language processing
  • Experience using cloud data tools within AWS, Azure, or Oracle
  • Experience with visualization packages, including Plotly, Seaborn, or ggplot2
  • Secret clearance
  • Bachelor’s degree

Nice To Haves

  • Experience with engineering AI solutions, including accessing Large Language Model (LLM) APIs, self-hosting LLMs, fine-tuning LLMs, or implementing Model Context Protocol
  • Experience working with the War Data Platform, USAF VAULT, or Palantir Foundry
  • Experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
  • Experience writing infrastructure-as-code leveraging Terraform or a similar tool
  • Experience working with DoW clients
  • Experience developing visually compelling PowerPoint decks and other products to support client delivery
  • Possession of excellent verbal and written communication skills
  • TS/SCI clearance

Responsibilities

  • Help turn complex data sets into useful information to solve global challenges
  • Help find the answers in the data across private and public sectors (from fraud detection to cancer research to national intelligence)
  • Use analytical skills and data science knowledge to create real-world impact
  • Work closely with clients to understand their questions and needs
  • Dig into data-rich environments to find the pieces of their information puzzle
  • Develop algorithms and systems
  • Use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions
  • Provide a deep understanding of the data, what it all means, and how it can be used

Benefits

  • Health benefits
  • Life benefits
  • Disability benefits
  • Financial benefits
  • Retirement benefits
  • Paid leave
  • Professional development
  • Tuition assistance
  • Work-life programs
  • Dependent care
  • Recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values
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