Data Scientist

Booz Allen Hamilton • Arlington, VA

1d

About The Position

As a Data Scientist at Booz Allen, you will use data science expertise and leadership skills to help clients solve complex challenges across private and public sectors. You will work with clients to understand their questions and needs, explore data-rich environments, and identify useful information within complex data sets. You will guide teammates and lead the development of algorithms and systems, selecting appropriate tools and frameworks to transform disparate data into objective answers that support informed decision-making. The role focuses on providing a deep understanding of data and how it can be used to create real-world impact.

Requirements

• At least 5 years of experience with data exploration, data cleaning, data pipelines, 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.
• Experience developing data pipelines, 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.
• Experience with Databricks and version control.
• Experience with data visualization tools such as QlikSense, Power BI, or Tableau.
• Active Secret clearance.
• Bachelor's degree.

Nice To Haves

• Experience developing algorithms using R, Python, or SQL and NoSQL.
• Experience with distributed data or computing tools, including Spark.
• Experience developing in Palantir Foundry.
• Experience with Advana or War Data Platform.
• Experience in DoW Financial Management.

Responsibilities

• Work with clients to understand their questions and needs.
• Explore data-rich environments to identify useful information and insights.
• Guide teammates and lead the development of algorithms and systems.
• Select tools and frameworks to turn disparate data into objective answers that inform client decisions.
• Provide a deep understanding of data, its meaning, and 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