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1386- Data Scientist

Northern, Virginia


Arlington, Alexandria, Springfield, McLean, Chantilly

Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a data scientist, you can 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 — you know the answers are in the data.
We have an opportunity for you to use your analytical skills to improve our clients’ ability to provide content to appropriate parties faster with far greater accuracy and generating a significant cost time savings and ability to reallocation of staff to more important tasks. You’ll work closely with your customer to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll develop fully automated Natural Language Processing (NLP) and Machine Learning (ML) algorithms and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help our client achieve its
first AI-based accredited software to make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in helping our clients to continue their mission with AI.


  • 2+ years of experience with various machine learning algorithms, statistics, and mathematics principles
  • Experience with multiple programming languages, including Python and R
  • Experience with Natural Language Processing
  • BA or BS degree


  • Experience with tools, including Qlik Sense, Power BI, or Stream Sets
  • Experience with AWS
  • Experience with C#
  • MA or MS degree in Mathematics, CS, Engineering, Physics, or Statistics preferred; PhD degree in Mathematics, CS, Engineering, Physics, or Statistics a plus
  • AWS Certification


  • Secret