As a data scientist at Booz Allen, help turn complex data sets into useful information to solve global challenges across private and public sectors, from fraud detection to cancer research to national intelligence, by finding answers in the data.
Requirements
- Experience using and integrating LLM models, including OpenAI, X.AI, or Claude, via APIs to enhance data analysis and automate insights
- Experience with Python and R to conduct statistical computing and data visualizations
- Experience in Exploratory Data Analysis (EDA) to identify trends, anomalies, and key insights from large datasets
- Experience in Data Modeling to support predictive analytics and anomaly detection
- Experience with dashboarding tools, such as AWS Quicksight
- Experience with machine learning tools such as Amazon SageMaker
- Experience in writing clean, maintainable code to support production-grade data science workflows
Responsibilities
- use your analytical skills and data science knowledge to create real-world impact
- work closely with your clients to understand their questions and needs
- dig into their data-rich environments to find the pieces of their information puzzle
- develop algorithms and systems
- use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions
- provide a deep understanding of the data, what it all means, and how it can be used
- support cloud-based applications
Other
- 2+ years of experience with data science supporting cloud-based applications
- Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
- U.S. citizenship is required
- Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.
- As part of the application process, you are expected to be on camera during interviews and assessments.
