Data Scientist, Senior

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

About The Position

As a Senior Data Scientist at Booz Allen, you will use data science expertise and leadership to help clients turn complex, structured and unstructured data into useful information. You will work closely with clients to understand their questions and needs, investigate data-rich environments, and develop algorithms and systems that support informed decisions. The role involves selecting tools and frameworks to analyze disparate data and explaining what the data means and how it can be used to address challenges across public and private sectors.

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.
  • TS/SCI clearance with a polygraph.
  • 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.
  • Investigate data-rich environments to find relevant information.
  • Guide teammates and lead the development of algorithms and systems.
  • Use appropriate tools and frameworks to turn disparate data into objective answers that inform client decisions.
  • Develop, sustain, and monitor operational data pipelines supporting multiple data formats and interfaces.

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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