Data Scientist

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

About The Position

As a Data Scientist at Booz Allen, you will use data science expertise and leadership skills to analyze complex structured and unstructured data and help clients make informed decisions. You will work closely with clients to understand their questions and needs, examine data-rich environments, and turn disparate data into useful information. You will guide teammates and lead the development of algorithms and systems, selecting tools and frameworks to produce objective insights and real-world solutions.

Requirements

  • At least 3 years of experience using programming languages such as Python, R, or SQL to manipulate and analyze data.
  • Experience deploying and maintaining user-facing or user-accessible models.
  • Experience with data cleansing, data analytics, inferential statistics, programming, data visualization, and system integration to provide data solutions.
  • Experience developing data visualizations, dashboards, or lightweight web applications to communicate key insights.
  • Knowledge of research design principles.
  • Knowledge of analytic methods and methodological tools used in applied mathematics, computer programming, or data visualization.
  • Ability to apply supervised and unsupervised machine learning algorithms to structured and unstructured datasets.
  • TS/SCI clearance with a polygraph.
  • Bachelor’s degree.

Nice To Haves

  • Experience with project management, project planning, and technical documentation.
  • Knowledge of psychometric theory and assessment validation methodologies such as Item Response Theory and Factor Analysis.
  • Knowledge of data strategy and data governance.
  • Ability to advise clients on data acquisition, data management, and data infrastructure.
  • Ability to execute projects and tasks with minimal guidance and supervision.

Responsibilities

  • Work with clients to understand their questions and needs.
  • Analyze data-rich environments and identify useful information within complex datasets.
  • Guide teammates and lead the development of algorithms and systems.
  • Select tools and frameworks to transform disparate data into objective answers and insights.
  • Develop and deploy models and data solutions to support informed client decisions.

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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