Sr. Research Scientist, Pricing Science

Amazons Worldwide Pricing & Promotions organization is seeking a talented hands-on Research Scientist to join the Pricing and Promotion Optimization Science (P2OS) team the optimization application layer within Amazons Pricing Sciences organization. Amazon adjusts prices on hundreds of millions of products daily across a global marketplace; P2OS is the team that makes those prices optimal.

P2OS is a small specialized unit with an outsized charter: develop and maintain the models that determine optimal prices and promotions across Amazons catalog and merchant programs. We own the full optimization stack from price prediction to promotion targeting to competitiveness guardrails and we measure success in terms of accretive Gross Contribution and Customer Pricing Perception (GCCP). Our work spans Retail Core Amazon Business Fresh Grocery and international marketplaces and we are continually investing in more extensible generalizable science foundations to keep pace with a growing and evolving business.

We are looking for an innovative organized and customer-focused scientist with exceptional machine learning and predictive modeling skills causal and experimental evaluation experience and the entrepreneurial spirit to apply state-of-the-art methods to some of the most impactful pricing problems in e-commerce. You should be comfortable with ambiguity motivated by measurable business impact and excited by the opportunity to work at Amazon-scale.


Key job responsibilities
* Innovate and build. Design develop and deploy machine learning models that set optimal prices and promotions across Amazons global catalog. Own models end-to-end from problem formulation and data analysis through offline evaluation A/B testing and production launch.
* Build a generalizable science foundation. Develop models and evaluation frameworks designed to scale across merchant programs product categories and marketplaces enabling cross-learning and reducing the time and cost of applying science to new business contexts.
* Build and evolve optimization systems. Design and improve optimization systems including reinforcement learning and multi-objective optimization approaches that automate price and promotion decisions at scale across millions of products.
* Apply generative AI and foundation models. Identify and pursue opportunities to leverage large language models embeddings and generative AI techniques in pricing science from enriching product representations and extracting competitive signals from unstructured data to building more capable and explainable pricing systems.
* Experiment rigorously. Design and execute A/B tests and causal inference studies to measure the business and customer impact of pricing model changes. Translate findings into production-ready science improvements.
* Stay at the frontier. Establish mechanisms to track the latest advances in reinforcement learning causal ML multi-objective optimization generative AI and demand modeling and identify opportunities to apply them to Pricing & Promotions business problems.
* See the big picture. Contribute to the long-term scientific vision for how Amazon sets competitive perception-preserving prices balancing profitability customer trust and marketplace health.

- 3 years of investigating the feasibility of applying scientific principles and concepts to business problems and products experience
- PhD or Masters degree and 5 years of quantitative field research experience
- Experience with big data technologies such as AWS Hadoop Spark Pig Hive etc.
- Experience communicating qualitative research methods and findings to non-qualitative researchers

- Experience converting research studies into tangible real-world changes
- Experience with discrete and continuous optimization methodologies and algorithms

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 for more information. If the country/region youre applying in isnt 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 WA Seattle - 159200.00 - 215300.00 USD annually