Data Scientist

About the Role

As a Data Scientist, you are excited by the prospect of unlocking the secrets held by a data set and 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.

Key Responsibilities

• Work closely with clients to understand their questions and needs.
• Dig into data-rich environments to find pieces of their information puzzle.
• Develop algorithms and systems.
• Use tools and frameworks to turn sets of disparate data points into objective answers.
• Provide a deep understanding of the data, its meaning, and how it can be used.

Requirements & Tech Stack

• Experience with common scripting languages such as Python or R.
• Knowledge of data processing frameworks such as Pandas, Polars, or Spark.
• Knowledge of machine learning, AI, or natural language processing.
• Ability to develop predictive data models, quantitative analyses, and visualization 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 Have

• 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 in the development of algorithms leveraging 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.

Clearance

• Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
• TS/SCI clearance with polygraph is required.

Compensation

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

Work Model

• Remote, Hybrid, or Onsite, depending on the position listing.
• Employees working virtually are generally expected to have their cameras on during meetings.
• If listed as remote, there may still be occasions when working in person at a Booz Allen or customer facility is required.
• If listed as hybrid, work will be expected from a Booz Allen or customer facility.
• If listed as onsite, work will primarily be performed full-time at a customer facility.

Identity Verification

• Identity verification process leveraging advanced biometrics and artificial intelligence is required.
• Candidates are expected to be on camera during interviews and assessments.

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.