Applied Scientist, Price Perception and Evaluation Science

Amazon; San Francisco (CA); On-site; USD 142,800 - 193,200; Full time

Job summary

Amazon is seeking an Applied Scientist for the Price Perception and Evaluation Science team in Seattle/Washington. The role focuses on building self-learning price estimation and product understanding systems across billions of products worldwide, in collaboration with researchers, ML experts and economists.

The role emphasizes designing experiments, developing algorithms, and deploying scalable ML models to improve customer experience and price competitiveness.

Qualifications

• 3+ years of building models for business applications.
• PhD, or Master’s degree and 4+ years of CS, CE, ML or related field experience.
• Experience in patents or publications at top-tier conferences or journals.
• Experience programming in Java, C++, Python or related language.

Responsibilities

• Research and use of statistical techniques to create scalable solutions for business problems.
• Design, build, and deploy ML solutions to provide low prices and increased selection for customers.
• 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 your work at internal and external scientific venues.

Skills

Modeling experience

Research publications

ML knowledge

Problem solving

Education

PhD/MS+ experience

Tools

Java

C++

Python

Job description

Applied Scientist, Price Perception and Evaluation Science

Job ID: 10479986 | Amazon.com Services LLC

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.

The Applied Scientist will work closely with other research scientists, machine learning experts, and economists to design and run experiments, research new algorithms, and find new ways to improve Seller Pricing to optimize the Customer experience. The Scientist will partner with technology and product leaders to solve business and technology problems using scientific approaches to build new services that surprise and delight our customers.

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.

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

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 .

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, Seattle - 142,800.00 - 193,200.00 USD annually

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.