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- Tasks: Join our team to innovate in machine learning and optimization for Amazon's supply chain.
- Company: Amazon is a global leader in e-commerce, dedicated to customer excellence and innovation.
- Benefits: Enjoy a full-time position with opportunities for research publication and collaboration.
- Why this job: Be part of a vibrant community, tackling real-world challenges while enhancing customer experiences.
- Qualifications: PhD in a relevant field and proven experience in data science and quantitative research required.
- Other info: We value diversity and are committed to creating an inclusive workplace.
The predicted salary is between 28800 - 48000 £ per year.
Postdoctoral Scientist, EU Science and Technology
Job ID: 2937921 | Amazon Digital Spain S.L.U. – N22
Amazon is looking for talented Postdoctoral Scientists to join our team for a one-year, full-time research position.
EU STEP brings together Supply Chain, Network Design, and Transportation Planning teams to improve end-to-end forecasting, network flow, planning, and execution. It also brings together our teams from across the business focused on our Operational Excellence pillars – Amazon Customer Excellence Systems (ACES), Learning, Quality, Service, Sustainability and Reliability Maintenance Engineering (RME) Field teams. This integration strengthens operations and execution while driving quality improvements and enhanced customer experience across the entire value chain.
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 and long-term research that prepare Amazon for the future. Our skills lie in the area of machine learning and optimization; and know how to code efficient algorithmic science solutions. 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.
We experiment and innovate relentlessly. Science is core in our offering to shoppers, advertisers and customers. Our scientists apply machine learning, optimization, causal modeling and game theory at scale to enhance the customer experience, help advertisers reach relevant audiences, and support brand building. We are seeking talented scientists to invent cutting-edge techniques in a variety of areas and innovate on behalf of shoppers, advertisers, and customers.
In 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, Robotics, Computer Vision, AI, Computer Science, Econ, Operations Research, or other related technical fields
* Experience in data science and quantitative research
* 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 ( ) 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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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Postdoctoral Scientist employer: Amazon
Contact Detail:
Amazon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Postdoctoral Scientist
✨Tip Number 1
Familiarise yourself with Amazon's core values and operational excellence pillars. Understanding how they prioritise customer experience and innovation will help you align your discussions during interviews.
✨Tip Number 2
Network with current or former Amazon scientists on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your research in a way that highlights its practical applications. Amazon values innovation that directly impacts customer experience, so be ready to connect your work to real-world scenarios.
✨Tip Number 4
Stay updated on the latest trends in machine learning and optimisation. Being knowledgeable about cutting-edge techniques will not only impress interviewers but also demonstrate your commitment to continuous learning.
We think you need these skills to ace Postdoctoral Scientist
Some tips for your application 🫡
Understand the Role: Thoroughly read the job description for the Postdoctoral Scientist position at Amazon. Familiarise yourself with the key responsibilities and qualifications required, especially in machine learning and optimization.
Highlight Relevant Experience: In your CV and cover letter, emphasise your PhD research and any relevant publications. Showcase your experience in data science and quantitative research, particularly in areas like AI and operations research.
Tailor Your Application: Customise your application materials to reflect how your skills and experiences align with Amazon's goals. Mention specific projects or techniques you have worked on that relate to demand forecasting and capacity management.
Showcase Communication Skills: Since exceptional verbal and written communication skills are preferred, ensure your application is well-structured and free of errors. Consider including examples of presentations or publications to demonstrate your ability to communicate complex ideas effectively.
How to prepare for a job interview at Amazon
✨Showcase Your Research
Be prepared to discuss your previous research projects in detail. Highlight your contributions, methodologies, and any innovative techniques you developed. This will demonstrate your expertise and ability to contribute to Amazon's cutting-edge research.
✨Understand Amazon's Culture
Familiarise yourself with Amazon's leadership principles and how they apply to the role of a Postdoctoral Scientist. Be ready to provide examples of how your work aligns with their focus on customer experience, innovation, and operational excellence.
✨Prepare for Technical Questions
Expect to face technical questions related to machine learning, optimisation, and data science. Brush up on relevant algorithms and be ready to discuss how you've applied them in your past work. Practical examples will help illustrate your problem-solving skills.
✨Practice Your Communication Skills
Since exceptional verbal and written communication skills are preferred, practice explaining complex concepts in simple terms. You may need to present your research or ideas clearly, so consider rehearsing with peers or mentors to refine your delivery.
