Applied Scientist, Price Perception and Evaluation Science

Amazon; Seattle (WA); On-site; USD 142,800 - 193,200; Full time

Benefits offered by this job

Health insurance

Sign-on payments and RSUs

Job summary

Amazon’s Price Perception and Evaluation team seeks an Applied Scientist to harness planet-scale multi-modal datasets to build an advanced self-learning price estimation and product understanding system, generating fresh, customer-relevant prices across billions of products worldwide.

Responsibilities include designing ML solutions, evaluating them with offline tests and online A/B tests, and publishing findings at internal and external venues, contributing to scalable data analyses and

Qualifications

• 3+ years of building models for business applications.
• PhD or MS with 4+ years in CS/CE/ML or related field.
• Experience with patents or publications in top-tier venues.
• Proficiency in Java, C++, Python or related language.
• Experience building ML models for business applications.
• Experience applying theoretical models in an applied environment.
• Experience using generative AI tools to improve workflow.
• Ability to identify opportunities for AI to enhance products.

Responsibilities

• Research and apply statistical techniques to solve business problems.
• Design, build, and deploy ML solutions to provide low prices and increased selection for customers using scientifically-based methods.
• Evaluate proposed solutions via offline benchmarks and online A/B tests in production.
• Establish scalable, automated processes for large-scale data analyses, model development, validation and implementation.
• Publish and present work at internal and external scientific venues.

Skills

Java

C++

Python

ML modeling

Generative AI

AB testing

Education

PhD

MS in CS/CE/ML

Job description

Applied Scientist, Price Perception and Evaluation Science

Amazon's Price Perception and Evaluation team is seeking a driven Applied Scientist to harness planet scale multi-modal datasets, and navigate a continuously evolving competitor landscape, in order to build and scale an advanced self-learning scientific price estimation and product understanding system, regularly generating fresh customer-relevant prices on billions of Amazon and Third Party Seller products worldwide.

Key job responsibilities

• Research and use of statistical techniques to create scalable solutions for business problems.
• Design, build, and deploy effective and innovative ML solutions to provide low prices and increased selection for customers using scientifically-based methods and decision making.
• Evaluate the proposed solutions via offline benchmark tests as well as online A/B tests in production.
• Establish scalable, efficient, automated processes for large scale data analyses, model development, validation and implementation.
• Publish and present your work at internal and external scientific venues.

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 building machine learning models or developing algorithms for business application.
• Experience applying theoretical models in an applied environment.
• Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices.
• Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences.

Preferred Qualifications

• Experience building machine learning models or developing algorithms for business application.
• Experience applying theoretical models in an applied environment.
• Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices.
• Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences.

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 (RSUs). 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, Seattle - 142,800.00 - 193,200.00 USD annually