Data Scientist

Booz Allen Hamilton•Chantilly, VA
•$112,800 - $257,000•Onsite

About The Position

As a Data Scientist at Booz Allen, you will analyze complex structured and unstructured data and use data science, machine learning, and artificial intelligence to help clients solve challenging problems. You will work closely with clients to understand their questions and needs, investigate data-rich environments, and turn disparate data into useful information that supports informed decisions. You will provide technical leadership on a team, overseeing the development of algorithms and systems, guiding and mentoring team members, and identifying opportunities to apply data science solutions. The role includes developing, deploying, and maintaining GenSI models in production, and building persistent monitoring and alerting applications for statistical or machine learning processes. You will also communicate analytical findings to technical and non-technical audiences.

Requirements

  • At least 5 years of professional experience in a data science field.
  • At least 5 years of experience with machine learning, data mining, statistical modeling, and algorithm development.
  • At least 5 years of experience developing, deploying, and maintaining GenSI models in production environments.
  • Experience building persistent monitoring and alerting applications for statistical or machine learning processes using SQL, Python, or R.
  • Ability to analyze complex datasets and create data-driven visualizations that support decision-making.
  • Ability to deliver clear reports and present analytical findings to technical and non-technical audiences.
  • Ability to guide team members and communicate project status and risks.
  • Ability to mentor junior data scientists, review work, support project planning, and uphold model development best practices.
  • Ability to work independently while coordinating as part of a larger data team.
  • TS/SCI clearance with polygraph.
  • Bachelor's degree in Computer Science, Statistics, Data Science, or Mathematics.

Nice To Haves

  • Experience with AgenticSI.
  • Experience with Snowflake, Redshift, or similar platforms.
  • Experience with Tableau and SQL.
  • Experience leading small analytical teams or acting as a project technical lead.
  • Excellent communication and collaboration skills.

Responsibilities

  • Work with clients to understand their questions and needs, and analyze data-rich environments to find useful information.
  • Develop, deploy, and maintain GenSI models in production environments.
  • Build persistent monitoring and alerting applications for statistical or machine learning processes using SQL, Python, or R.
  • Analyze complex datasets and create data-driven visualizations that support decision-making.
  • Deliver clear reports and present analytical findings to technical and non-technical audiences.
  • Guide team members and communicate project status and risks.
  • Mentor junior data scientists, review their work, support project planning, and uphold model development best practices.
  • Oversee the development of algorithms and systems and identify opportunities to use data science solutions for client challenges.
  • Coordinate independently as part of the larger data team.

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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