Booz Allen Hamilton
AI/ML Engineer and Data Scientist
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Job Description
The Opportunity
Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it’s gathered from disparate sources. We need an experience d data engineer like you to help our clients find answers in their data to impact important missions—from fraud detection to cancer research to national intelligence.
As a Data Engineer at Booz Allen, you’ll help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You’ll deploy and develop pipelines and platforms that organize and make disparate data meaningful.
Here, you’ll work with and guide a multi-disciplinary team of analysts, data engineers, develop ers, and data consumers in a fast-paced, agile environment. You’ll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients.
Work with us to use data for good.
Join us. The world can’t wait.
You Have
- 4+ years of experience with major data science languages such as Python and R
- 4+ years of experience retrieving, merging, and analyzing structured and unstructured data sources from APIs and databases through Python, R, or SQL
- Experience with Large Language Models ( LLMs ) and Generative AI ( GenAI )
- Experience preparing data for use with AI or GenAI models
- Experience with data analytics, data mining, statistical analysis, or AI and ML
- TS/SCI clearance with a polygraph
- Bachelor’s degree and 8+ years of experience in data engineering, or 12+ years of experience in data engineering in lieu of a degree
Nice If You Have
- Experience streamlining existing workflows by integrating LLMs and GenAI
- Experience conducting data architecture a
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