Amazon.com Services LLC
Research Science, north america stores
Sr.ResearchScientist,PricingScience
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“Sr. Research Scientist, Pricing Science at Amazon.com Services LLC. Skills: Machine learning, Predictive modeling, Optimization. Design machine learning models. Develop machine learning models”
What You'll Achieve.
Accretive Gross Contribution; Customer Pricing Perception
Industry & Context.
Problem formulation
What They're Looking For.
Must Have
3+ years investigating scientific principles, Master's degree and 5+ years quantitative research, Experience with big data technologies, Experience communicating research findings
Nice to Have
Experience converting research studies to changes, Experience with discrete optimization, Experience with continuous optimization
What You'll Do.
Design machine learning models
Develop machine learning models
Deploy machine learning models
Evaluate models offline
Launch models in production
Develop models for scale
Develop evaluation frameworks
Design optimization systems
Improve optimization systems
Automate price decisions
Automate promotion decisions
Apply foundation models
Enrich product representations
Extract competitive signals
Build pricing systems
Build explainable systems
Design causal inference studies
Execute causal inference studies
Measure business impact
Measure customer impact
Translate findings to improvements
Track advances in causal ML
Track advances in multi-objective optimization
Track advances in generative AI
Track advances in demand modeling
Identify application opportunities
Contribute to scientific vision
Set competitive prices
Preserve price perception
Balance profitability
Balance customer trust
Balance marketplace health
Full Job Description
Amazon's 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 Amazon's 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 Amazon's 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 Amazon's 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 ti
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