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.
Requirements
- 5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
- 5+ years of experience analyzing structured and unstructured data
- 3+ years of experience with statistical and general-purpose programming languages for data analysis
- Experience wrangling data from disparate databases and APIs for analysis
- Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources
- Experience with natural language processing, text mining, or machine learning techniques
- Experience in the development of algorithms leveraging Python and SQL
Responsibilities
- use your leadership skills and data science expertise to create real-world impact
- 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
- guide teammates and lead the development of algorithms and systems
- use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions
- provide a deep understanding of the data, what it all means, and how it can be used
- use data science for good
- help find the answers in the data
Other
- Experience leading the development of solutions to complex problems
- TS/SCI clearance with a polygraph
- Bachelor’s degree
- Experience with engineering AI solutions, including accessing Large Language Model (LLM) APIs, self-hosting LLMs, fine-tuning LLMs, or implementing Model Context Protocol
- Experience with developing production-quality machine learning models or pipelines
