Data Scientist

Booz Allen Hamilton • Chantilly, VA

9d

About The Position

As a Data Scientist at Booz Allen, you will use data science expertise and leadership to turn complex structured and unstructured data into useful information that helps clients address challenging problems. You will work with clients to understand their questions and needs, analyze data-rich environments, and develop algorithms and systems that support informed decision-making. You will identify opportunities to apply data science solutions, guide and mentor team members, and explain what the data means and how it can be used to create real-world impact.

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 closely with clients to understand their questions and needs.
• Analyze complex data sets and develop useful, data-driven insights.
• Oversee the development of algorithms and systems, using appropriate tools and frameworks.
• Identify opportunities to use data science solutions to address client challenges.
• Guide and mentor team members, review work, support project planning, and uphold model development best practices.
• Create data-driven visualizations, reports, and presentations of analytical findings for technical and non-technical audiences.
• Communicate project status and risks and coordinate work as part of a 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior