Applied Scientist, Supply Chain Optimization Technologies, Specialized Selection

Amazon; Factoria (WA); On-site; USD 143,000 - 193,000; Full time

Benefits offered by this job

Health insurance

RSUs and stock-based compensation

Paid time off

Job summary

Amazon seeks an Applied Scientist for the Specialized Selection team within SCOT in Bellevue, WA. You will own end-to-end projects, building ML and optimization models to optimize product assortment under capacity limits, collaborating with engineers, PMs, and business partners.

The role involves prototyping new models, designing scalable solutions, and producing production-ready code, with opportunities to publish findings and mentor teammates across the organization.

Qualifications

• 3+ years building models for business applications.
• PhD or Master’s with 4+ years in CS/CE/ML or related field.
• Experience with patents or publications at top-tier conferences/journals.
• Proficient in Java, C++, or Python.
• Strong knowledge of algorithms, data structures, optimization, data mining, and parallel computing.

Responsibilities

• Understand business requirements and map them to scientific solutions.
• Design scalable and achievable models and tools.
• Develop metrics to evaluate model efficacy.
• Prototype and analyze new models and logic.
• Productionize code for production systems.
• Communicate with technical and business audiences.
• Publish findings and mentor the scientist community.

Skills

Modeling for business applications

Java

C++

Python

Data analysis

Education

PhD or Master's in CS/CE/ML or related field

Tools

Patents/publications experience

Optimization and ML

MILP/ RL / CAI

Job description

Applied Scientist, Supply Chain Optimization Technologies, Specialized Selection

Job ID: 10537551 | Amazon.com Services LLC

Amazon is looking for an Applied Scientist to help build next generation selection/assortment systems. On the Specialized Selection team within the Supply Chain Optimization Technologies (SCOT) organization, we own the selection of the products that Amazon offers in our limited shelf assortment problems world wide. This includes products for our fastest delivery, perishable grocery offerings, and other emerging Amazon delivery programs. The selection is generated with a series of Machine Learning (ML) and optimization models to best cater to customer purchase intents under limited warehouse capacity. We build tools and systems that enable our partners and business owners to scale themselves by leveraging our problem domain expertise, focusing instead on introspecting our outputs and iteratively helping us improve our models rather than hand-managing their assortment. We partner closely with our business stakeholders as we work to develop state-of-the-art, scalable, automated selection management systems.

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 supervised and unsupervised machine learning, large language models, mixed integer linear programs (MILPs), reinforcement learning, causal inference, and experiment designs. Some critical research areas in our space include modeling substitutability between similar products, complementarity and basket building, measuring speed sensitivity of products through experiments, optimizing assortment under operational and capacity constraints, and supply and demand forecasting.

Key job responsibilities

You will be an end-to-end owner for the projects you support. Responsibilities include:

• Understanding business requirements and existing challenges and map them to the right scientific solution;
• Designing effective, scalable, and achievable solutions to key business problems;
• Developing the right set of metrics to evaluate efficacy of your models and solutions;
• Prototyping and analyzing new models and business logic;
• Productionizing your scientific solutions, including writing production-quality critical path code;
• Communicating, both written and verbally, with both technical and business audiences throughout each project;
• Publishing findings in internal and/or external conferences and interfacing with the scientific community;
• Mentoring and developing the scientist community across the organization

Basic Qualifications

• - 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 Qualifications

• - PhD in operations research, applied mathematics, theoretical computer science, or equivalent
• - Experience in professional software development

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSU). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .

Preferred Qualifications

• - PhD in operations research, applied mathematics, theoretical computer science, or equivalent
• - Experience in professional software development

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSU). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .

USA, WA, Bellevue - 142,800.00 - 193,200.00 USD annually

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.