Have 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, Amazon's Trans Systems Analytics & Customer Experience (TSA & CX) 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 Senior 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.
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 solutions
You are someone who is naturally curious, needs to deeply understanding a problem via digging into the data and also interacting with various stakeholders, and then propose solutions that sit within the larger context. To do this you will need:
- PhD, or a Master's degree and experience in CS, CE, 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 audience
Preferred 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
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