Amazon-posted 8 months ago
$196,900 - $340,300/Yr
Full-time • Senior
Bellevue, WA
Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

Amazon is looking for a Senior Applied Science Manager to help build the next generation of buying systems. The Optimal Sourcing Systems (OSS) owns the optimization of inventory sourcing and the orchestration of inbound flows from vendors worldwide. We source inventory from thousands of vendors for millions of products globally while orchestrating the inbound flow for billions of units. Our goals are to increase reliable access to supply, improve supply chain-driven vendor experience, and reduce end-to-end supply chain costs, all in service of maximizing Long-Term Free Cash Flow (LTFCF) for Amazon. As an Applied Scientist, you will work with software engineers, product managers, and business teams to understand the business problems and requirements, distill that understanding to crisply define the problem, and design and develop innovative solutions to address them. Our team is highly cross-functional and employs a wide array of scientific tools and techniques to solve key challenges, including optimization, causal inference, and machine learning/deep learning. Some critical research areas in our space include modeling buying decisions under high uncertainty, vendors' behavior and incentives, supply risk and enhancing visibility and reliability of inbound signals.

  • Build machine learning models for business applications.
  • Collaborate with software engineers, product managers, and business teams.
  • Define business problems and design innovative solutions.
  • Manage science teams and oversee applied research.
  • 7+ years of building machine learning models for business application experience.
  • PhD, or Master's degree and 6+ years of applied research experience.
  • Experience programming in Java, C++, Python or related language.
  • Experience with neural deep learning methods and machine learning.
  • 10+ years of industry experience applying scientific methods to solve complex business problems.
  • 4+ years managing science teams.
  • Experience in delivering production grade ML/AI solutions at scale.
  • Proven ability to collaborate cross-functionally with teams including engineering, product and business stakeholders.
  • Excellent written and verbal communication skills, with the ability to influence technical and non-technical audiences.
  • Full range of medical benefits.
  • Financial benefits including equity and sign-on payments.
  • Comprehensive employee benefits package.
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