Data Scientist

The Opportunity

As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors—from fraud detection to cancer research to national intelligence—we need you to help find the answers in the data. On our team, you’ll use your analytical skills to help create real-world impact. You’ll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll work with and learn from your teammates as you develop algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers so that your clients can make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good.

Key Responsibilities

• Develop predictive data models.
• Perform quantitative analyses.
• Visualize targeted data sources.
• Deploy natural language processing, text mining, or machine learning techniques.
• Work with clients to understand their questions and needs.
• Dig into data-rich environments to find information.
• Develop algorithms and systems.
• Turn sets of disparate data points into objective answers.

Requirements & Tech Stack

• Experience with common scripting languages such as Python or R.
• Experience with object-oriented programming.
• Knowledge of data processing frameworks such as Pandas, Polars, or Spark.
• Knowledge of statistical or machine learning frameworks such as scikit-learn, pytorch, tensorflow, or R.
• Knowledge of structured and unstructured data sources.
• Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing.
• TS/SCI clearance with a polygraph required.

Qualifications

• Bachelor’s degree in a STEM field.

Nice to Have

• Experience in the development of algorithms leveraging R, Python, or SQL/NoSQL.
• Experience with distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
• Experience working with LLMs, generative AI systems, or agentic frameworks.
• Master’s degree.

Compensation

• Projected compensation range: $62,000.00 to $141,000.00 (annualized USD).

Work Model

• This role may be remote, hybrid, or onsite. Specifics will align with leadership expectations and the needs of the role.
• If remote, employees are generally expected to have their cameras on during meetings.
• If hybrid, frequent work from a Booz Allen facility is expected.
• If onsite, work will primarily be performed at a Booz Allen office or customer facility.

Candidate AI Usage Policy

The use of artificial intelligence (AI) or other tools to assist with responses during interviews is prohibited unless permission is explicitly provided.