Applied Scientist (Operations Research), EU Fulfillment Optimization

Job title:

Applied Scientist (Operations Research), EU Fulfillment Optimization

Company

Amazon

Job description

DESCRIPTIONHave you ever ordered a product on Amazon and when that box-with-the-smile arrives, you wonder how it got to you so fast?Ever wondered where it came from and how much it cost Amazon? Wondered how Amazon designs its transportation network to scale and reliably deliver hundreds of millions of package to customer’s doorsteps?
If so, EU Fulfillment Optimization team is for you.We use mathematical models, business analytics, algorithm design and statistics to improve decision-making capabilities across Operations and Amazon Logistics.
Our objective is to create a reference for what the ideal transportation network looks like and build scalable audit mechanisms to assess and reduce the gap to the current network. We do so by treating system defects as gifts and solve anomalies in systems and their behavior to achieve business goals.We are based out of the EU headquarters in Luxembourg and looking for a talented and motivated Applied Scientists to innovate and enhance our outbound network optimization and management products. In this role, you will solve highly visible problems that are important for senior leaders across organizations.Key job responsibilities
We want you solve capacity optimization problems and re-define the way we approach resource allocation. You are someone:
>> With business acumen with strategic, analytical, and critical thinking, who can understand the business challenge and develop technical and algorithmic solutions to those problems.
>> Who understands technical software development life cycle and have experience to drive research teams towards business solutions
>> Who drives strategic product communications across organizations providing clarity in decisions
>> Has experience to develop scalable applied science solutionsBASIC QUALIFICATIONS– PhD, or a Master’s degree and experience in CS, CE, ML or related field
– Background in Operations Research highly desirable or experience in optimization of resource allocation
– Experience in building models for business application
– Experience programming in Python or related language
– Able to communicate highly complex concepts to business audiencePREFERRED QUALIFICATIONS– Hands on experience leading large-scale big data and analytics projects.
– Experience applying theoretical models in an applied environment
– Experience diving into data to discover hidden patterns and of conducting error/deviation analysis
– Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2
– Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

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.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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 you’re applying in isn’t listed, please contact your Recruiting Partner.

Expected salary

Location

London

Job date

Sat, 22 Mar 2025 04:02:53 GMT

To help us track our recruitment effort, please indicate in your email/cover letter where (hiring-jobs.com) you saw this job posting.