Applied Scientist II, SCOT OSS - Sourcing Execution & Performance

Amazon
Bellevue, WA, USA1970-01-01ONSITE

About the job

Have you ever ordered a product on Amazon and when that box with the smile arrived, wondered how it got to you so fast? Wondered where it came from and how much it cost Amazon? If so, the Amazon Global Supply Chain Optimization Technology (SCOT) organization is for you. We are the Optimal Sourcing Systems team (OSS) within SCOT and are looking for an Applied Scientist II to join us! OSS designs and builds systems that measure and manage Amazon’s supplier capabilities, identify and react to supply disruptions, and prioritize inbound freight for our global network. OSS software is used by every country Amazon services, and is a critical link to ensuring Amazon offers the products our customers want, at the lowest possible cost. This team under OSS orchestrates and tracks inventory movement into Amazon's network, maintains performance feedback loops, and ensures vendor compliance.

Responsibilities

- Collaborate with product managers, science, and engineering teams to design and implement complex Science solutions for Sourcing Execution & Performance systems

- Identify science and innovation opportunities to improve outcomes across Inbound, and guiding the science direction to solve ambiguous business problems.

- Build prototypes and core production algorithms, and work with talented engineering teams to scale them.

- Drive technical standards and best practices for the team's Science solutions

- Mentor and provide technical guidance to other team members on complex projects

Qualifications

Minimum

- 3+ years of building models for business application experience

- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience

- Experience in patents or publications at top-tier peer-reviewed conferences or journals

- Experience programming in Java, C++, Python or related language

- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Preferred

- Experience using Unix/Linux

- Experience in professional software development