Data Scientist

Booz Allen Hamilton • McLean, VA

1h • $62,000 - $141,000

About The Position

As a Data Scientist at Booz Allen, you will analyze complex structured and unstructured data to help clients answer questions and make informed decisions. You will work with clients to understand their needs, explore data-rich environments, and collaborate with teammates to develop algorithms and systems. You will select appropriate tools and frameworks to turn disparate data into useful information and provide insight into what the data means and how it can be used. The work may address challenges across private and public sectors, including fraud detection, cancer research, and national intelligence.

Requirements

• Experience with scripting languages such as Python or R.
• Knowledge of data processing frameworks such as Pandas, Polars, or Spark.
• Knowledge of machine learning, artificial intelligence, or natural language processing.
• Ability to develop predictive data models, quantitative analyses, and visualizations of targeted data sources.
• Ability to deploy natural language processing, text mining, or machine learning techniques.
• TS/SCI clearance with a polygraph.
• Scheduled to obtain a Bachelor's degree by Spring 2027.

Nice To Haves

• Experience with data exploration, data cleaning, data analysis, data visualization, or data mining.
• Experience with statistical and general-purpose programming languages for data analysis.
• Experience developing algorithms using R, Python, or SQL and NoSQL.
• Experience with Palantir Foundry, War Data Platform (WDP), Advana, or Databricks.
• Knowledge of structured and unstructured data sources.
• Master’s degree.

Responsibilities

• Work with clients to understand their questions and needs.
• Analyze data-rich environments to identify useful information.
• Collaborate with teammates to develop algorithms and systems.
• Use appropriate tools and frameworks to convert disparate data into objective answers.
• Develop predictive data models, quantitative analyses, and visualizations of targeted data sources.
• Apply natural language processing, text mining, or machine learning techniques.
• Explain data findings and their implications to support client decision-making.

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: Entry Level