Research Scientist, WWGS Real Estate & Store Development

Amazon • Seattle, WA

1d • Onsite

About The Position

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. Our team is responsible for developing predictive models and tools to support Real Estate and Topology analysts in making important decisions regarding our stores—including new store openings, relocations, closures, remodels, design, new formats, and more. We leverage statistical modeling, machine learning, and GenAI to build solutions for store sales forecasting, sales transfer effects, macrospace optimization, store network optimization, store network diffusion planning, and causal effects. As a Research Scientist on our team, you will apply your technical and analytical skills to tackle complex business problems and develop innovative solutions to improve our forecasting and decision-making capabilities. You will collaborate with a diverse team of scientists, economists, and business partners to identify opportunities, develop hypotheses, build internal products, and translate analytical insights into actionable recommendations for Executive Leadership.

Requirements

• 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

Nice To Haves

• Knowledge of R, MATLAB, Python or similar scripting language
• Experience with agile development
• Experience building web based dashboards using common frameworks

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.

Benefits

• sign-on payments
• restricted stock units (RSUs)
• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Senior