Data Scientist

Booz Allen Hamilton•Detroit, MI

5d•$77,600 - $176,000•Hybrid

About The Position

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 (AI). 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 and data science knowledge to create real-world impact. You’ll work closely with your 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 develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients 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. Join us. The world can’t wait.

Requirements

2+ years of experience performing quantitative analysis, developing visualizations, and processing complex data to create data-driven insights
Experience with statistical and general-purpose programming languages such as R and Python
Experience developing and deploying data models
Experience analyzing structured and unstructured data sources, including using SQL to conduct complex database queries for extract, transform, and load (ETL) procedures
Experience developing and maintaining scalable data stores that supply big data in forms needed for business analysis
Experience communicating information to an audience with varying technical knowledge
Experience with source control and collaboration software, including Git or Atlassian tools
Knowledge of machine learning, AI, or natural language processing
Ability to obtain a Secret clearance
Bachelor’s degree

Nice To Haves

Experience deploying data workflows and models within platforms such as Palantir Foundry or Gotham
Experience developing web services or web applications using R shiny, Python, and Flask or JavaScript
Experience working with cloud environments, including AWS and Azure, and evaluating architectural tradeoffs and designing robust applications for scalable use
Experience working with LLMs, generative AI systems, or agentic frameworks, including for task automation

Responsibilities

Performing quantitative analysis
Developing visualizations
Processing complex data to create data-driven insights
Developing and deploying data models
Analyzing structured and unstructured data sources
Using SQL to conduct complex database queries for extract, transform, and load (ETL) procedures
Developing and maintaining scalable data stores that supply big data in forms needed for business analysis
Communicating information to an audience with varying technical knowledge