Data Scientist

Booz Allen Hamilton•McLean, VA
•$62,000 - $141,000

About The Position

As a Data Scientist at Booz Allen, you will analyze complex structured and unstructured data to help clients answer questions and make informed decisions. You will work closely with clients to understand their needs, explore data-rich environments, and develop algorithms and systems using appropriate tools and frameworks to turn disparate data into useful information. The work may address challenges across private and public sectors, such as fraud detection, cancer research, and national intelligence, using data science, machine learning, and artificial intelligence.

Requirements

  • Experience with data exploration, data cleaning, data analysis, data visualization, or data mining.
  • Experience using Python for data analysis.
  • Experience analyzing structured and unstructured data sources.
  • Experience developing predictive data models, quantitative analyses, and visualizations of targeted data sources.
  • Experience with machine learning, artificial intelligence, or natural language processing.
  • Ability to obtain a Secret clearance.
  • Bachelor’s degree.

Nice To Haves

  • Experience developing algorithms using R, SAS, SQL, or NoSQL.
  • Experience with distributed data and computing tools, including Hadoop, Hive, EMR, Kafka, Spark, or MySQL.
  • Knowledge of simulation techniques such as discrete event simulation, Monte Carlo simulation, and agent-based modeling.
  • Experience with visualization packages, including Contour, Vertex, Workshop, or Grafana.
  • Experience with U.S. Army or Department of War datasets.
  • Master’s degree.

Responsibilities

  • Work with clients to understand their questions and needs.
  • Explore data-rich environments and analyze structured and unstructured data.
  • Develop algorithms and systems using suitable tools and frameworks.
  • Transform disparate data points into objective answers that support informed client decisions.
  • Explain what data means and how it can be used.

Benefits

  • Health, life, disability, financial, and retirement benefits.
  • Paid leave.
  • Professional development.
  • Tuition assistance.
  • Work-life programs.
  • Dependent care.
  • Recognition awards for exceptional performance and demonstration of company values.
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