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
- 3+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
- 3+ years of experience with analyzing structured and unstructured data sources
- Experience with statistical and general-purpose programming languages for data analysis
- Experience with developing predictive data models, quantitative analyses, and visualization of targeted data sources
- Experience with leading the development of solutions to complex problems
- Experience with natural language processing, text mining, or machine learning techniques
- Experience implementing automation in processing, presenting, or manipulating data
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
- data exploration, data cleaning, data analysis, data visualization, or data mining
- analyzing structured and unstructured data sources
Other
- Active TS/SCI clearance; willingness to take a polygraph exam
- Bachelor’s degree
- Experience in the development of algorithms leveraging Python and SQL
- Experience with developing solutions incorporating Large Language Models
- TS/SCI clearance with a polygraph
