Applied Scientist, AWS Supply Chain

As part of the AWS Solutions organization we have a vision to provide business applications leveraging Amazons unique experience and expertise that are used by millions of companies worldwide to manage daytoday operations. We will accomplish this by accelerating our customers businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazons realworld experience to build opinionated turnkey solutions. Where customers prefer to buy over build we become their trusted partner with solutions that are nobrainers to buy and easy to use.

Amazon Web Services (AWS) offers a broad set of global compute storage database analytics application and deployment services that help organizations move faster lower IT costs and scale applications. These services are trusted by the largest enterprises and the hottest startups to power a wide variety of workloads including web and mobile applications data processing and warehousing storage archive and many others.
We are looking for an applied scientist to help us define and build a new enterprise application. AWS Applications is building services in Supply Chain Management and is looking for a scientist to tackle complex science problems in Supply Chain including demand planning supply planning and sustainability which will be used by our customers across a wide range of industries.
We operate a fast growing business and our journey has only started. Our mission is to build the most efficient and optimal supply chain software on the planet using our science and technology as our biggest advantage. We aim to leverage cutting edge technologies in optimization operations research and machine learning to grow our businesses.

As an Applied Scientist youll design model develop and implement stateoftheart models and solutions used by users worldwide. As part of your role you will regularly interact with software engineering teams and business leadership. The focus of this role is to research develop and deploy models to improve stateoftheart for time series. 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
Lead and partner with the engineering to drive modeling and technical design for complex business problems.

Develop accurate and scalable machine learning models to solve our hardest supply chain problems.

Lead complex modeling analyses to aid management in making key business decisions and set product direction.

A day in the life
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Diverse 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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employeeled affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
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PhD or Masters degree and 4 years of CS CE ML or related field experience
1 years of programming in Java C Python or related language experience
Experience in patents or publications at toptier peerreviewed conferences or journals
Experience with neural deep learning methods and machine learning

Experience in professional software development
Time Series forecasting experience using statistical machine learning and deep learning techniques.
Have experience in large language models.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136000/year in our lowest geographic market up to $223400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.