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Data Scientist

1 month ago

Norfolk, Virginia, United States Booz Allen Hamilton Full time
Unlock the Secrets of Data

As a Data Scientist at Booz Allen, you will have the opportunity to work with complex data sets and turn them into useful information to solve global challenges. You will work closely with customers to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle.

Key Responsibilities:
  • Develop data collection tools, data visualizations, and dashboards to process data or conduct predictive analytics leveraging machine learning or other approaches.
  • Use the right combination of tools and frameworks to turn disparate data points into objective answers to help Air Force leaders make informed decisions.
  • Provide customers with a deep understanding of their data, what it all means, and how they can use it.

Requirements:
  • Experience with scripting and scientific languages, including Python, R, C++, or Java.
  • Experience with tools to manage data and databases, including Microsoft Excel, Access, SharePoint, or SQL.
  • Knowledge of statistical measures, including confidence intervals and the significance of error measurements, mathematical modeling techniques, optimization approaches, or machine learning algorithm development.
  • Top Secret clearance.
  • Bachelor's degree.

Nice to Have:
  • 6+ years of experience with applying machine learning techniques and the key parameters that affect their performance.
  • 6+ years of experience with Big Data programming technologies, including Hadoop, Spark, R, or Hive.
  • 6+ years of experience in working with a wide range of predictive and decision models and tools for developing models.
  • Experience with using statistical software applications, including SAS, R, MATLAB, SPSS, or Stata.
  • Experience with developing statistical and simulation models.
  • Experience with natural language processing topics, including tagging, syntactic parsing, word sense disambiguation, topic modeling, contextual text mining, and application of deep learning to NLP.
  • Experience with developing experimental and analytic plans for data modeling processes, using strong baselines, and determining cause and effect relationships accurately.
  • Master's degree.

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top Secret clearance is required.