Postdoctoral Scientist, EU Science & Technology , EU Science and Technology

The EU Science and Technology (SnT) team owns scalable algorithms, models and systems that improve customer experience in middle-mile. We work backwards from Amazon's customers aiming to make transportation faster, cheaper, safer, more reliable and ecologically sustainable with the technological advances we offer. To that end, we split our time between short-term deliveries focused on business (70%) and long-term research that prepare Amazon for the future (30%). Our skills lie in the area of machine learning and optimization; and know how to code efficient algorithmic science solutions. Our current scope can be divided in four business domains: 1) Network Planning, 2) Scheduling & Capacity Planning and Management; 3) Execution Optimization and 4) Demand Forecasting, as an enabler to all 1-3 domains. In this position we focus on Demand Forecast for Scheduling and Capacity Management, which includes the subproblems of origin-destination forecasting, week over week end-to-end network demand flow estimation, hour per hour forecast refresh.Key job responsibilitiesIn this role you will:• Work closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazon’s vibrant and diverse global science community.• Publish your innovation in top-tier academic venues and hone your presentation skills.• Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise.

Basic Qualifications

* PhD in a relevant field, received within 2 years of starting the program* Proven publication record in Machine learning and Operations research or other related technical fields* Experience in item perception and manipulation* Proficiency in technologies relevant to the subfield

Preferred Qualifications

• Ability to independently deliver results in a fast-paced environment• Publications at top-tier, peer-reviewed conferences and/or journals• Exceptional verbal and written communication skills• Expert knowledge in modeling and performance, operationalization and scalability of scientific techniques and establishing decision strategies Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.