About the job
Do you want to help shape the future of Amazon's physical retail presence? Worldwide Grocery Stores (WWGS), Location Strategy and Analytics team is looking for an Research Scientist to join us in developing advanced forecasting models, optimization models, and analytical tools to support critical real estate and store planning decisions for Amazon's Worldwide Grocery business, including Whole Foods Market.
Responsibilities
Design and implement forecasting models and machine learning solutions to predict store performance and optimize our retail network.
Analyze large datasets to uncover insights and patterns related to store performance, customer behavior, and market dynamics.
Develop end-to-end solutions, tools and frameworks to scale our ML model development and data analysis.
Leverage GenAI models to enhance user interaction with our solutions, improve overall user experience, and build new features.
Present research findings and recommendations to scientists, business leaders, and executives.
Collaborate with cross-functional teams to drive adoption of models and insights.
Stay current on latest developments in relevant fields and propose innovative approaches.
Qualifications
Minimum
PhD, or Master's degree and 4+ years of quantitative field research experience
Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
Experience analyzing both experimental and observational data sets
Preferred
Knowledge of R, MATLAB, Python or similar scripting language
Experience with agile development
Experience building web based dashboards using common frameworks