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
- 2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
- 2+ years of experience with statistical and general-purpose programming languages for data analysis, including Python
- Experience working in the IC using multi-INT data sources for analysis
- Experience developing and deploying generative AI tools
- Knowledge of machine learning, artificial intelligence, or natural language processing
- Experience with common programming languages, including R, SQL, HTML, and JavaScript
- Experience analyzing geospatially enabled data
Responsibilities
- 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.
- 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.
Other
- Active TS/SCI clearance; willingness to take a polygraph exam
- TS/SCI clearance with a polygraph
- Ability to learn new technologies and adapt to dynamic mission needs
- As part of the application process, you are expected to be on camera during interviews and assessments.
- We reserve the right to take your picture to verify your identity and prevent fraud.
