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Sr. Applied Scientist, WW Promotions Science
Amazon
On-siteseniorPosted June 4, 2026
About the Role
Invent or adapt new scientific approaches, models, or algorithms for promotional strategies, produce research papers, implement solutions for production, and analyze the performance of methods and models.
Requirements
Apply causal inference, statistics, machine learning, forecasting, optimization, and experimentation to solve complex business problems involving global promotional strategies, inventing and adapting new scientific approaches.
Full Job Description
Amazon's Worldwide Promotions organization is seeking a strong Sr. Applied Scientist to help solve complex business problems involving promotional 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 new promotional strategies as we incorporate more elements of personalization into the promotional shopping experience. The work is part of significant scientific investments in promotions intelligence systems that personalize, recommend, rank, and optimize promotions strategies across different surfaces in the Store.
Key job responsibilities
- Invent or adapt new scientific approaches, models, or algorithms inspired and driven by customers' needs and benefits
- Produce research papers and reports that have the same level of correctness, scholarship, usefulness, completeness, depth, rigor, and originality as a top-tier external publication
- Implement solutions that will be deployed into production or directly support production systems
- Write clear, useful documentation describing algorithms and design choices in your components to make it possible for others to understand and reproduce your work
- Contribute to operational excellence in the team's deliverable
- Analyze the performance of your methods and models to understand the gaps, and iteratively propose solutions to improve
- Champion the adoption of scientific advancements in the team
- Help new teammates ramp up and understand who our customers are, what their needs are, how the team's solutions work, and how scientific components fit in those solutions
A day in the life
As a Sr. Applied Scientist on the WW Promotions Science team, you invent or adapt new scientific approaches, models, or algorithms to solve real-world business problems. Your work uses the latest (or the most appropriate) techniques from academic literature. You work semi-autonomously to successfully deliver solutions that are consistently of high quality (efficient, reproducible, testable code). You work collaboratively with teammates, partners, and stakeholders. You recognize discordant views and take part in constructive dialogue to resolve them. You adopt and identify opportunities to refine mechanisms to raise the general scientific knowledge in the team.
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.
This is an individual contributor role that requires collaboration across teams and functions to solve core business problems for the company around setting new promotional strategies as we incorporate more elements of personalization into the promotional shopping experience. The work is part of significant scientific investments in promotions intelligence systems that personalize, recommend, rank, and optimize promotions strategies across different surfaces in the Store.
Key job responsibilities
- Invent or adapt new scientific approaches, models, or algorithms inspired and driven by customers' needs and benefits
- Produce research papers and reports that have the same level of correctness, scholarship, usefulness, completeness, depth, rigor, and originality as a top-tier external publication
- Implement solutions that will be deployed into production or directly support production systems
- Write clear, useful documentation describing algorithms and design choices in your components to make it possible for others to understand and reproduce your work
- Contribute to operational excellence in the team's deliverable
- Analyze the performance of your methods and models to understand the gaps, and iteratively propose solutions to improve
- Champion the adoption of scientific advancements in the team
- Help new teammates ramp up and understand who our customers are, what their needs are, how the team's solutions work, and how scientific components fit in those solutions
A day in the life
As a Sr. Applied Scientist on the WW Promotions Science team, you invent or adapt new scientific approaches, models, or algorithms to solve real-world business problems. Your work uses the latest (or the most appropriate) techniques from academic literature. You work semi-autonomously to successfully deliver solutions that are consistently of high quality (efficient, reproducible, testable code). You work collaboratively with teammates, partners, and stakeholders. You recognize discordant views and take part in constructive dialogue to resolve them. You adopt and identify opportunities to refine mechanisms to raise the general scientific knowledge in the team.
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.