Data Scientist

Booz Allen Hamilton • Chantilly, VA

10d • $112,800 - $257,000

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 difficult challenges. You will work with clients to understand their questions and needs, investigate data-rich environments, and apply appropriate tools and frameworks to generate objective, data-driven answers that support informed decisions. The work may span public and private sectors and areas such as fraud detection, cancer research, and national intelligence.

You will oversee the development of algorithms and systems, guide and mentor team members, and identify new opportunities for data science solutions. You will also help clients understand what their data means and how it can be used. The role requires a TS/SCI clearance with polygraph.

Booz Allen describes a benefits package that includes health, life, disability, financial and retirement benefits, paid leave, professional development, tuition assistance, work-life programs, dependent care, and recognition awards. The projected annualized compensation range is $112,800 to $257,000, with salary determined by factors including location, qualifications, skills, experience, and organizational requirements.

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 data sets 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.
• Analyze complex data sets and turn disparate data into objective answers that help clients make informed decisions.
• Oversee the development of algorithms and systems using appropriate tools and frameworks.
• Guide and mentor team members, including reviewing work and supporting project planning.
• Identify opportunities to apply data science solutions to clients’ challenges.
• Build persistent monitoring and alerting applications for statistical or machine-learning processes.
• Create data-driven visualizations, reports, and presentations of analytical findings for technical and non-technical audiences.
• Communicate project status and risks and uphold model-development best practices.

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