Applied Scientist, Supply Chain Optimization Technologies, Specialized Selection

Amazon; Bellevue, Northern (WA, KY); Hybrid; USD 143,000 - 193,000; Full time

Benefits offered by this job

RSU grants

401(k) matching

Paid time off

Health insurance

Job summary

Amazon is seeking an Applied Scientist to build next generation selection/assortment systems within the Specialized Selection team of SCOT. You’ll work with engineers, PMs, and business teams to define problems, design innovative ML/optimization solutions, and productionize models for scalable impact worldwide.

Responsibilities span modeling, prototyping, evaluating metrics, and communicating findings to both technical and business audiences, with opportunities to publish and mentor within the

Qualifications

• 3+ years building models for business applications.
• PhD or Master plus 4+ years in CS/CE/ML or related fields.
• Experience with patents or publications at top-tier conferences/journals.
• Proficient in Java, C++, Python or related languages.
• Experience in algorithms, data structures, optimization, data mining.

Responsibilities

• Understand business requirements and map to scientific solutions.
• Design scalable, achievable solutions for key problems.
• Develop metrics to evaluate model efficacy.
• Prototype, analyze and productionize models and logic.

Skills

Analytical thinking

Written & verbal communication

Mentoring

Education

PhD in CS/ML/OR

MS in CS/CE/ML with 4+ years experience

Tools

Java

C++

Python

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.