Data Scientist, GenAI Innovation Center

5 hours ago


Arlington, Virginia, United States Amazon Web Services, Inc. Full time
About the Role

The GenAI Innovation Center is seeking a highly skilled Data Scientist to join our team. As a Data Scientist, you will play a key role in helping our customers accelerate their use of Generative AI to solve business challenges and promote innovation across their organizations.

Key Responsibilities:

  • Design, develop, and evaluate innovative ML models to solve diverse challenges and opportunities across industries.
  • Interact with customers directly to understand their business problems and help them define and implement scalable Generative AI solutions to solve them.
  • Work closely with account teams, research scientist teams, and product engineering teams to drive model implementations and new solutions.

About the Team

The GenAI Innovation Center is a diverse team of experienced professionals who are passionate about helping our customers succeed. We value diverse experiences and encourage candidates from all backgrounds to apply.

Why AWS?

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, providing a robust suite of products and services to power our customers' businesses.

What We Offer

  • A dynamic and inclusive team culture that empowers us to be proud of our differences.
  • Endless knowledge-sharing, mentorship, and career-advancing resources to help you develop into a better-rounded professional.
  • A flexible work environment that supports work-life harmony.

Basic Qualifications:

  • 5+ years of experience in data querying languages, scripting languages, or statistical/mathematical software.
  • Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods, and/or machine learning.
  • Bachelor's degree and 8 years of experience or Master's degree and 4 years of experience.

Preferred Qualifications:

  • PhD or Master's degree in computer science, engineering, mathematics, operations research, or a highly quantitative field.
  • Practical experience in solving complex problems in an applied environment.
  • Hands-on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer).


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