Data Scientist

Booz Allen Hamilton • Lexington Park, MD

1d • $99,000 - $225,000 • Hybrid

About The Position

As a Data Scientist at Booz Allen, you will use data science expertise and leadership skills to help clients turn complex structured and unstructured data into useful information. You will work closely with clients to understand their questions and needs, examine data-rich environments, and guide teammates in developing algorithms and systems. You will select appropriate tools and frameworks to interpret disparate data and provide objective findings that support informed decisions. The role contributes to data science solutions across public and private sector challenges.

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 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 such as Plotly, Seaborn, or ggplot2.
• TS/SCI clearance with a polygraph.

Responsibilities

• Explore, clean, analyze, visualize, and mine data.
• Analyze structured and unstructured data sources.
• Develop predictive data models, quantitative analyses, and visualizations of targeted data sources.
• Develop algorithms using R, Python, or SQL/NoSQL.
• Develop LLMs and AI bots.
• Apply natural language processing, text mining, and machine learning techniques.
• Lead the development of solutions to complex programs.
• Work with clients to understand their questions and needs and communicate insights to support informed decisions.
• Guide teammates and lead the development of algorithms and systems.

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 superior demonstration of company values.

What This Job Offers

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