Senior Applied Scientist, SCOT OSS - Sourcing Execution & Performance

Amazon
Bellevue, WA, USA2026-07-27ONSITE

About the job

We are the Optimal Sourcing Systems team (OSS) within SCOT and are looking for a Senior Applied Scientist to join us! OSS designs and builds systems that measure and manage Amazon’s supplier capabilities, identify and react to supply disruptions, and prioritizes inbound freight for our global network. The Senior Applied Scientist, in partnership with the Product Management and Tech teams, will lead efforts in providing technical leadership, building collaborative inventory planning solutions, pioneering Gen AI solutions, driving the full development cycle, and collaborating with SDEs.

Responsibilities

Set the technical vision and drive best practices for the team's science solutions, including model evaluation frameworks, experimentation standards, code quality, and documentation

Mentor junior scientists and raise the bar across the organization

Lead cross-functional collaboration with product managers, science, and engineering teams to define problem frameworks, identify high-impact opportunities, and architect end-to-end model solutions for Sourcing Execution & Performance systems

Design and execute rigorous studies and predictive modeling pipelines on large-scale datasets and experiments, establishing methodological standards for statistical validity, reproducibility, and business interpretability

Partner with engineering to productionize science workflows driving the automation of analysis processes, building scalable measurement solutions, and ensuring models are robust, monitored, and maintainable in production environments

Qualifications

Minimum

3+ 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

Preferred

Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.

Experience with large scale distributed systems such as Hadoop, Spark etc.