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Applied Scientist II, Selling Partner Growth

Amazon

Seattle, WA
Full Time
Mid Level
136k-223k
12 days ago

Job Description

About the Role

Join us in the evolution of Amazon's Seller business! The Selling Partner Growth organization is the growth and development engine for our Store. Partnering with business, product, and engineering, we catalyze SP growth with comprehensive and accurate data, unique insights, and actionable recommendations and collaborate with WW SP facing teams to drive adoption and create feedback loops. We strongly believe that any motivated SP should be able to grow their businesses and reach their full potential supported by Amazon tools and resources. We are looking for an Applied Scientist II to work on our growth agent vision on seller recommendation to improve our SP growth strategy and drive new seller success. As a successful applied scientist on our talented team of applied scientists and economists, you will leverage the latest GenAI technology to solve complex problems, and collaborate with engineering, research, and business teams to deliver agentic experience on behalf of sour sellers. You need to have deep understanding on the business domain and have the ability to connect business with science. You are also strong in GenAI technology and scientific foundation with the ability to collaborate with engineering to put models in production to answer specific business questions. You are an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication. You will continue to contribute to the research community, by working with scientists across Amazon, as well as collaborating with academic researchers and publishing papers.

Key Responsibilities

  • Identify opportunities to improve Selling Partner (SP) growth and translate those opportunities into science problems via principled GenAI solutions.
  • Design and execute roadmaps for complex science projects to help SP have a delightful selling experience while creating long term value for shoppers.
  • Work with engineering partners and draw upon experience to meet latency and system constraints.
  • Communicate science innovations to the broader internal and external scientific community.

Requirements

  • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
  • Experience programming in Java, C++, Python or related language.
  • Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.
  • Experience identifying opportunities to improve business processes and translating them into scientific problems.
  • Deep understanding of GenAI technology and scientific foundation.
  • Ability to collaborate with engineering teams to put models into production.

Nice to Have

  • Experience using Unix/Linux.
  • Experience in professional software development.

Qualifications

  • Doctoral degree or Master's degree in a relevant field.

Benefits & Perks

  • Competitive salary ranging from $136,000/year to $223,400/year depending on geographic location and experience.
  • Total compensation including equity, sign-on payments, and other benefits.
  • Medical, financial, and other employee benefits.

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Job Details

Posted AtAug 25, 2025
Job CategoryData Science
Salary136k-223k
Job TypeFull Time
ExperienceMid Level

Job Skills

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About Amazon

Website

amazon.com

Location

Seattle, WA

Industry

All Other Miscellaneous Retailers

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