Data Scientist, Senior

Booz Allen Hamilton•Alexandria, VA
•$99,000 - $225,000

About The Position

Booz Allen is seeking a Senior Data Scientist to use data science expertise and leadership to turn complex, structured and unstructured data into useful information for clients. The role involves working closely with clients to understand their questions and needs, analyzing data-rich environments, guiding teammates, and leading the development of algorithms and systems. The Data Scientist will combine appropriate tools and frameworks to interpret disparate data and provide objective answers that support informed client decisions. Work may address challenges across private and public sectors, including areas such as fraud detection, cancer research, and national intelligence.

Requirements

  • Experience working with SQL or NoSQL databases and cloud architectures.
  • Experience leveraging APIs to query systems and migrate data.
  • Experience with programming languages such as Python, JavaScript, or Java.
  • Experience developing, sustaining, and monitoring operational data pipelines supporting multiple data formats and interfaces.
  • Active TS/SCI clearance with a polygraph is required.
  • One of the following: a high school diploma or GED and 18 or more years of data science experience; a bachelor's degree and 15 or more years of data science experience; or a master's degree and 13 or more years of data science experience.

Nice To Haves

  • Experience working with IT enterprise solutions, ATO processes, and Government NPE certificates.
  • Experience implementing processes, standards, and tools within an organization based on the Scaled Agile Framework for Enterprise.
  • Experience developing dynamic visualizations.
  • Excellent written and verbal communication skills to articulate challenging technical concepts.

Responsibilities

  • Work with clients to understand their questions and needs.
  • Analyze data-rich environments to identify useful information and insights.
  • Guide teammates and lead the development of algorithms and systems.
  • Use appropriate tools and frameworks to turn disparate data into objective answers for client decision-making.
  • Develop, sustain, and monitor operational data pipelines supporting multiple data formats and interfaces.

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 demonstration of company values.
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