Data Scientist

Booz Allen HamiltonArlington, VA
5d

About The Position

Data Scientist The Opportunity: 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

  • 5+ years of experience with an analytical or statistical language such as Closure, Scala, Python, or R
  • 4+ years of experience with supervised and unsupervised custom AI training and Natural Language Processing (NLP), including using unstructured data
  • 2+ years of experience manipulating unstructured data from different platforms
  • 2+ years of experience with data visualization tools such as Power BI, Tableau, Qlik, or Elastic X-Pack, including Graph
  • Secret clearance
  • Bachelor’s degree in Computer Science, Data Science, Mathematics, or Statistics

Nice To Haves

  • Experience with AWS, including S3 and Lamda
  • Experience with SQL

Benefits

  • health
  • life
  • disability
  • financial
  • retirement benefits
  • paid leave
  • professional development
  • tuition assistance
  • work-life programs
  • dependent care
  • recognition awards program
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