Data Scientist, Mid

Booz Allen HamiltonMcLean, VA
72d$77,600 - $176,000

About The Position

As a data scientist, you are 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

  • Experience with Machine Learning, Artificial Intelligence, or Natural Language Processing.
  • Experience developing rapid prototypes or proof-of-concepts using open-source tools and general programming languages such as Python.
  • Experience with a deep learning framework such as TensorFlow, PyTorch, or Keras.
  • Ability to follow code review practices, document work, and maintain clean and reusable code.
  • TS/SCI clearance with a polygraph.
  • Bachelor’s degree.

Nice To Haves

  • Experience with a variety of databases such as relational databases, NoSQL, and vector databases.
  • Experience with Git, CI/CD workflows, or containerization tools like Docker.
  • Knowledge of software vulnerabilities, exploits, or cybersecurity.
  • Master's degree.

Responsibilities

  • 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 pieces of information puzzles.
  • Develop algorithms and systems to analyze data.
  • Use tools and frameworks to turn disparate data points into objective answers.

Benefits

  • Health, life, and disability insurance.
  • Financial and retirement benefits.
  • Paid leave and professional development.
  • Tuition assistance and work-life programs.
  • Dependent care support.
  • Recognition awards program for exceptional performance.
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