Data Scientist, Senior

Booz Allen HamiltonUsa, DC
10h$99,000 - $225,000

About The Position

Data Scientist, Senior 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 leadership skills and data science expertise to create real-world impact. You’ll work closely with 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 guide teammates and lead the development of algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they 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 IC/DoD tools, technologies, and tech environments, and data sources
  • Experience with multi-INT data and analytics
  • Experience pulling, cleaning, and processing data from APIs
  • Experience writing and executing code on classified systems
  • Active TS/SCI clearance; willingness to take a polygraph exam
  • Bachelor's degree and 8+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining using common statistical or general-purpose programming languages, or 12+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining using common statistical or general-purpose programming languages in lieu of a degree

Nice To Haves

  • Experience with collection management
  • Experience with analytic methodology development
  • Experience using common data visualization or dashboarding tools
  • Experience writing SQL code
  • Experience developing predictive data models, quantitative analyses, and the visualization of targeted data sources
  • Experience with natural language processing, implementing machine learning techniques, or leveraging artificial intelligence
  • TS/SCI clearance with a polygraph

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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