Data Scientist

Booz Allen Hamilton • Lexington Park, MD

2d • $99,000 - $225,000

About The Position

As a Data Scientist at Booz Allen, you will use data science expertise and leadership to help clients uncover insights in large, structured and unstructured data sets. You will work with clients to understand their questions and needs, explore data-rich environments, guide teammates, and lead the development of algorithms and systems. You will select appropriate tools and frameworks to turn disparate data into objective answers that support informed decisions. The work may address challenges across private and public sectors, including areas such as fraud detection, cancer research, and national intelligence.

The position requires experience in data exploration, cleaning, analysis, visualization, mining, statistical programming, LLM and AI bot development, and algorithm development. You will develop predictive models and quantitative analyses, and apply natural language processing, text mining, and machine learning techniques. A Secret clearance and a bachelor's degree are required.

The projected annual compensation range is $99,000 to $225,000. Booz Allen offers health, life, disability, financial, and retirement benefits, paid leave, professional development, tuition assistance, work-life programs, dependent care, and recognition awards. Eligibility for benefit programs depends in part on working at least 20 hours per week on a regular basis. The posting states that it will close within 90 days of its posting date.

The hiring process includes identity verification using biometrics and AI, and candidates are expected to be on camera during interviews and assessments. Use of AI or other tools to assist with interview responses is prohibited unless explicitly permitted. Booz Allen's work model information explains expectations for remote, hybrid, and onsite positions, but the specific workplace type for this position is not stated.

Requirements

• At least 5 years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining.
• At least 5 years of experience with statistical and general-purpose programming languages for data analysis.
• At least 5 years of experience analyzing structured and unstructured data sources.
• At least 4 years of experience with LLM development and AI bot development.
• At least 4 years of experience developing algorithms using R, Python, or SQL/NoSQL.
• Experience developing predictive data models, quantitative analyses, and visualizations of targeted data sources.
• Experience leading the development of solutions to complex programs.
• Experience with natural language processing, text mining, or machine learning techniques.
• Secret clearance.
• Bachelor’s degree.

Nice To Haves

• Experience with visualization packages, including Plotly, Seaborn, or ggplot2.
• TS/SCI clearance with a polygraph.

Responsibilities

• Work with clients to understand their questions and needs.
• Explore clients' data-rich environments to identify useful information.
• Guide teammates and lead the development of algorithms and systems.
• Select tools and frameworks to turn disparate data points into objective answers that help clients make informed decisions.
• Develop predictive data models, quantitative analyses, and visualizations of targeted data sources.
• Lead the development of solutions to complex programs.
• Apply data science to challenges across public and private sectors.

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.

What This Job Offers

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