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Sr. Applied Scientist, WW Pricing & Promotions Science
Amazon
H1B ✓On-sitesenior levelPosted April 13, 2026
About the Role
The Sr. Applied Scientist will develop and implement complex research solutions for promotion forecasting and optimization at a global scale. They will lead scientific initiatives, mentor other scientists, and collaborate across teams to drive strategic business decision-making.
Requirements
Candidates must have a PhD or a Master's degree with at least 6 years of applied research experience, or 3+ years of experience building machine learning models. Proficiency in programming languages like Java, C++, or Python and experience with deep learning methods are required.
Full Job Description
Amazon's Worldwide Pricing & Promotions organization is seeking a strong Sr. Applied Scientist to help solve complex business problems involving promotion sourcing algorithms and promotion merchandising strategies at a global scale. This Sr. Applied Scientist will operate in a team of other scientists and economists. Our team applies causal inferences, statistics, machine learning, forecasting, optimization, economics, and experimentation to drive actionable insights and to improve strategic business decision-making.
This is an individual contributor role that requires collaboration across teams and functions to solve core business problems for the company around setting promotional strategies. The work is part of significant scientific investments in promotions systems that forecast customer demand, predicts the quality of promotions, and optimize promotions sourcing and merchandising strategies across different surfaces.
Key job responsibilities
* Identify and devise new research solutions to address complex problems related to promotion forecasting and optimization
* Lead the design, implementation, and successful delivery of solutions for scientifically-complex problems and systems in production, which can be brand new, or evolving from existing ones
* Apply and drive the team to adopt best practices
* Influence your team’s science and business strategy by making insightful contributions to team roadmaps, goals, priorities, and approach
* Serve as a role model for publishing research results at internal and external venues, when appropriate
* Proactively communicate your ideas effectively to achieve the right outcome for your team and customer
* Actively participate in the science hiring process as well as mentor other scientists - improving their skills, their knowledge of your solutions, and their ability to get things done
A day in the life
As a Sr. Applied Scientist on the WW Pricing & Promotions Science team, you are considered a leader in your team. You are recognized for your expertise, and your peers regularly seek your advice. You invent and design new solutions for scientifically-complex problem areas to improve the promotions business. You apply and set the example for best practices in applied science and software engineering, and systematically peer review code written by your team members. You drive your team’s scientific agenda by proposing new initiatives and securing management buy-in. You author internal documents and/or external publications where appropriate.
About the team
The WW Pricing & Promotions Science team is responsible for driving scientific innovation to support pricing and promotions programs across Amazon's businesses. We specialize in experimental and observational causal methods, forecasting, and optimization. We apply these tools to drive business decision making at scale, leading to launch decisions of new pricing algorithms and new promotion strategies, understanding short- and long-term value of different programs, and the prioritization of budget allocations. We also develop models to set optimal prices and promotions, and define innovative price guardrails and incentives to optimize for long-term program health. Basic Qualifications: - 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- Experience in building machine learning models for business application Preferred Qualifications: - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
- Experience using managed ML/AI solutions
- Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
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.
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually
This is an individual contributor role that requires collaboration across teams and functions to solve core business problems for the company around setting promotional strategies. The work is part of significant scientific investments in promotions systems that forecast customer demand, predicts the quality of promotions, and optimize promotions sourcing and merchandising strategies across different surfaces.
Key job responsibilities
* Identify and devise new research solutions to address complex problems related to promotion forecasting and optimization
* Lead the design, implementation, and successful delivery of solutions for scientifically-complex problems and systems in production, which can be brand new, or evolving from existing ones
* Apply and drive the team to adopt best practices
* Influence your team’s science and business strategy by making insightful contributions to team roadmaps, goals, priorities, and approach
* Serve as a role model for publishing research results at internal and external venues, when appropriate
* Proactively communicate your ideas effectively to achieve the right outcome for your team and customer
* Actively participate in the science hiring process as well as mentor other scientists - improving their skills, their knowledge of your solutions, and their ability to get things done
A day in the life
As a Sr. Applied Scientist on the WW Pricing & Promotions Science team, you are considered a leader in your team. You are recognized for your expertise, and your peers regularly seek your advice. You invent and design new solutions for scientifically-complex problem areas to improve the promotions business. You apply and set the example for best practices in applied science and software engineering, and systematically peer review code written by your team members. You drive your team’s scientific agenda by proposing new initiatives and securing management buy-in. You author internal documents and/or external publications where appropriate.
About the team
The WW Pricing & Promotions Science team is responsible for driving scientific innovation to support pricing and promotions programs across Amazon's businesses. We specialize in experimental and observational causal methods, forecasting, and optimization. We apply these tools to drive business decision making at scale, leading to launch decisions of new pricing algorithms and new promotion strategies, understanding short- and long-term value of different programs, and the prioritization of budget allocations. We also develop models to set optimal prices and promotions, and define innovative price guardrails and incentives to optimize for long-term program health. Basic Qualifications: - 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- Experience in building machine learning models for business application Preferred Qualifications: - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
- Experience using managed ML/AI solutions
- Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
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 - 167,100.00 - 226,100.00 USD annually