Monday , March 4 2024

Amazon Jobs Near Me – Applied Scientist, Seller Fees and Economics

Website Amazon

Job Description:

We are looking for an experienced Applied Scientist to improve our understanding of seller economics and reduce defects in our fee charging processes worldwide. In this role you will develop large scale prediction and classification models to influence the fee calculations that impact billions of products listed by third-party sellers. You will collaborate with other Applied Scientists, Economists, Software Developers, and Product Managers.

Job Responsibilities:

  • Translate ambiguous fee related business problems into rigorous scientific models.
  • Write high quality code and implement scalable models within the production systems.
  • Develop large scale classification and/or prediction models using state-of-the-art techniques to further our understanding of third-party seller economics.
  • Collaborate with business and software teams both within and outside of the fees organization.
  • Stay up to date with relevant scientific publications.

Job Requirements:

  • Superior verbal and written communication, ability to convey rigorous mathematical concepts to technical and non-technical audiences.
  • Expertise across deep learning techniques applied to large scale classification problems.
  • PhD in Statistics, Machine Learning, Operations Research, Computer Science, or similar field.
  • 3+ years of experience developing machine learning models in a professional environment.
  • Experience developing and deploying models with cloud computing technology.
  • Hands on experience with scripting languages such as Python
  • M.S. or PhD degree in Statistics, Machine Learning, Operations Research, Computer Science, or similar field.
  • Sound theoretical understanding of broad machine learning concepts, with deep and demonstrable expertise in at least one topic or application of machine learning.

Job Details:

Company: Amazon

Vacancy Type:  Full Time

Job Location: Seattle, WA, USA

Application Deadline: N/A

Apply Here