Booz Allen Hamilton-posted 3 months ago
$99,000 - $225,000/Yr
Full-time • Senior
Springfield, VA

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.

  • Unlock secrets held by data sets using IoT, machine learning, and AI.
  • Turn complex data sets into useful information to solve global challenges.
  • Work closely with clients to understand their questions and needs.
  • Analyze data-rich environments to find pieces of information puzzles.
  • Develop algorithms and systems to provide objective answers.
  • Provide deep understanding of data and its implications.
  • 7+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining with Python and SQL.
  • 7+ years of experience with statistical and general-purpose programming languages for data analysis.
  • Experience with code repositories such as GitLab.
  • Experience with Python geospatial packages such as GeoPandas and Shapely.
  • Ability to independently complete technical projects with little to no oversight.
  • Active TS/SCI clearance; willingness to take a polygraph exam.
  • Bachelor’s degree.
  • 5+ years of experience with Python for data analysis.
  • Experience with Grafana, Databricks, or JEMA.
  • Experience with HTML, JavaScript, and CSS.
  • Experience with Syntasa.
  • Experience analyzing geospatially enabled data and deploying AI tools into operational software.
  • Knowledge of GEOINT collection and associated systems.
  • Ability to learn new technologies and adapt to dynamic mission needs.
  • TS/SCI clearance with a polygraph.
  • Master’s degree.
  • 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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