Sr.AppliedScientist,WWPricing&PromotionsScience

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 ar