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Amazon Data Scientist Generative AI Innovation Center 
United States, Texas, Arlington 
826123564

20.11.2024
DESCRIPTION

You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.We’re looking for Data Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.This position requires that the candidate selected be a US Citizen.Key job responsibilities
As an Data Scientist, you willDiverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS
Work/Life BalanceMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

BASIC QUALIFICATIONS

- 3+ years of experience building models for business applications
- Hands-on experience building GenAI solutions
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning
- Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet
- Bachelor's degree and 5 years of experience or Master's degree and 2 years of experience


PREFERRED QUALIFICATIONS

- PhD or Masters degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field
- Hands on experience building cloud applications