Data Scientist

Booz Allen Hamilton • Usa, MD

13d

About The Position

As a Data Scientist at Booz Allen, you will use data science expertise and leadership skills to turn complex structured and unstructured data into useful information and real-world solutions. You will work closely with clients to understand their questions and needs, examine data-rich environments, and identify insights that support informed decisions. You will guide teammates and lead the development of algorithms and systems, selecting appropriate tools and frameworks to interpret disparate data. Applications may span private and public sectors, including fraud detection, cancer research, and national intelligence.

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 is required; applicants are subject to a security investigation and may need to meet eligibility requirements for access to classified information.
• 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 data-rich environments and identify useful 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.
• Provide a deep understanding of data, its meaning, and its potential uses.

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