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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.