Amazon Research Scientist AWS Supply Chain 

United States, Washington, Bellevue 

226659366

As an Research Scientist, you’ll research, design, model and prototype state-of-the-art models and solutions used by users worldwide. As part of your role you will regularly interact with other scientists, software engineering teams and business leadership. The focus of this role is to research, develop, and deploy models to improve state-of-the-art of supply chain capabilities including demand forecasting and supply planning. You will have the opportunity to work on our assistant solution allowing our users to ask data questions in natural language and get intelligent insights and exceptions.Key job responsibilities
Develop accurate and scalable machine learning models or optimization solutions to solve our hardest supply chain problems.A day in the life
Why AWSDiverse 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.
Work/Life BalanceInclusive Team CultureMentorship 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.

- PhD, or Master's degree and 4+ years of quantitative field research experience
- Knowledge of machine learning processing: computer vision, NLU, NLP or operations research
- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
- . Experience in patents or publications at top-tier peer-reviewed conferences or journals

- Knowledge of R, MATLAB, Python or similar scripting language
- Experience with agile development
- . Supply chain domain experience using optimization or machine learning
- . Experience in large language models.