Data Scientist, Senior

Booz Allen Hamilton • Alexandria, VA

9d • $99,000 - $225,000

About The Position

As a Senior Data Scientist at Booz Allen, you will apply data science expertise and leadership to help clients turn complex, structured and unstructured data into useful information and actionable insights. You will work closely with clients to understand their questions and needs, explore data-rich environments, and guide teammates in developing algorithms and systems. You will select appropriate tools and frameworks to analyze disparate data and provide objective answers that support informed decisions across private- and public-sector challenges.

The role involves working with AI/ML technologies and data systems, processing complex data, conducting quantitative analysis, creating visualizations, and using programming languages such as Python for data cleaning and manipulation. The position requires an active TS/SCI clearance and willingness to take a polygraph exam.

Booz Allen states that salary is determined by factors including location, education, skills, experience, and organizational requirements. The projected annualized compensation range is $99,000 to $225,000. The posting is scheduled to close within 90 days from its posting date.

Requirements

• Experience working with AI/ML technologies and data systems.
• Experience working with multiple file types, including geospatial file formats, JSON, and XML.
• Experience conducting quantitative analysis, developing visualizations, and processing complex data to create data-driven insights.
• Experience developing in languages such as Python for data cleaning and manipulation.
• Active TS/SCI clearance and willingness to take a polygraph exam.
• One of the following experience and education combinations: high school diploma or GED and 10+ years of data science experience; bachelor's degree and 7+ years of data science experience; or master's degree and 5+ years of data science experience.

Nice To Haves

• Experience applying NLP algorithms to extract data from documents.
• Experience with enterprise analytic modernization efforts such as SOM, Computer Vision, automated collection, or automated reporting, along with data standardization best practices.
• Expertise in math, statistics, and quantitative analysis.
• Experience with analytic techniques such as classification, regression, clustering, data reduction, and causal modeling.

Responsibilities

• Work with clients to understand their questions and needs.
• Explore client data-rich environments to identify useful information and insights.
• Guide teammates and lead the development of algorithms and systems.
• Select tools and frameworks to transform disparate data into objective answers that support client decisions.
• Conduct quantitative analysis, develop visualizations, and process complex data to create data-driven insights.
• Use programming languages such as Python for data cleaning and manipulation.

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
• Education Level: High school or GED