Data Scientist

Booz Allen Hamilton•Arlington, VA
•$99,000 - $225,000•Onsite

About The Position

As a Data Scientist at Booz Allen, you will use data science expertise and leadership to help solve complex challenges by turning structured and unstructured data into useful information. You will work closely with the Marine Corps Directorate of Analysis and Performance Optimization to understand its questions and needs, explore data-rich environments, and identify insights that support informed decisions. You will guide teammates and lead the development of algorithms and systems, choosing appropriate tools and frameworks to analyze disparate data and explain what the findings mean and how they can be used.

Requirements

  • At least 5 years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining.
  • At least 5 years of experience with statistical and general-purpose programming languages for data analysis.
  • At least 5 years of experience analyzing structured and unstructured data sources.
  • Experience developing predictive data models, quantitative analyses, and visualizations of targeted data sources.
  • Experience leading the development of solutions to complex programs.
  • Experience developing algorithms using R, Python, SQL, or NoSQL.
  • Experience with natural language processing, text mining, or machine learning techniques.
  • Public Trust determination is required; applicants selected will be subject to a government investigation and may need to meet U.S. government client eligibility requirements.
  • Bachelor’s degree.

Nice To Haves

  • Experience with survey and questionnaire design.
  • Experience with distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
  • Experience with visualization packages.
  • Experience with health services or population health research.

Responsibilities

  • Work with the Marine Corps Directorate of Analysis and Performance Optimization to understand its questions and needs.
  • Explore data-rich environments and identify useful information from disparate data sources.
  • Guide teammates and lead the development of algorithms and systems.
  • Use suitable tools and frameworks to generate objective answers and advise clients in making informed decisions.
  • Provide an understanding of data, its meaning, and potential uses.

Benefits

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