Sr. Research Scientist, Pricing Science

Amazon • Seattle, WA

4d • Onsite

About The Position

Amazon's Worldwide Pricing & Promotions organization is seeking a talented, hands-on Research Scientist to join the Pricing and Promotion Optimization Science (P2OS) team. This team is responsible for developing and maintaining the models that determine optimal prices and promotions across Amazon's catalog and merchant programs. The work spans various Amazon businesses including Retail Core, Amazon Business, Fresh, Grocery, and international marketplaces. The team focuses on creating extensible and generalizable science foundations to support a growing and evolving business. They are looking for an innovative, organized, and customer-focused scientist with strong machine learning, predictive modeling, and causal/experimental evaluation skills, who is motivated by measurable business impact and comfortable with ambiguity at Amazon's scale.

Requirements

• 3+ years of investigating the feasibility of applying scientific principles and concepts to business problems and products experience
• PhD, or Master's 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

Nice To Haves

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

Responsibilities

• Design, develop, and deploy machine learning models that set optimal prices and promotions across Amazon's global catalog.
• Own models end-to-end — from problem formulation and data analysis through offline evaluation, A/B testing, and production launch.
• Develop models and evaluation frameworks designed to scale across merchant programs, product categories, and marketplaces.
• Design and improve optimization systems — including reinforcement learning and multi-objective optimization approaches — that automate price and promotion decisions at scale.
• Identify and pursue opportunities to leverage large language models, embeddings, and generative AI techniques in pricing science.
• 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.
• Establish mechanisms to track the latest advances in reinforcement learning, causal ML, multi-objective optimization, generative AI, and demand modeling.
• Contribute to the long-term scientific vision for how Amazon sets competitive, perception-preserving prices.

Benefits

• 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
• parental leave
• sign-on payments
• restricted stock units (RSUs)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior