Applied Scientist, WW Growth & Development

Do you want to help shape the future of Amazon's physical retail presence? The Location Strategy and Analytics team is looking for an Applied Scientist to join us in developing cutting-edge 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 sophisticated forecasting models and tools to support Real Estate and Topology analysts on important decisions regarding our stores - including new store openings, relocations, closures, remodels, design, new formats, and more.

We leverage advanced data science techniques to build models for store sales forecasting, sales transfer effects, macrospace optimization, store network optimization, and store network diffusion planning.

As an Applied 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, and translate analytical insights into actionable recommendations.

Key job responsibilities
- Design and implement advanced 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 Generative AI techniques to enhance user interaction with our solutions and improve overall user experience
- 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

About the team
We are a team of scientists passionate about leveraging data and advanced analytics to drive strategic decisions for Amazon's physical retail business. Our work directly impacts Amazon's worldwide grocery store growth and development strategy. We foster a collaborative environment where team members are encouraged to think creatively, challenge assumptions, and pursue novel approaches to solving complex problems. Our team is at the forefront of applying cutting-edge techniques, including Generative AI, to improve our forecasting models and enhance the usability of our scientific solutions.- Ph.D. degree in Computer Science, Statistics, Applied Mathematics, Operations Research or a related quantitative field or M.Sc. degree with 5+ years of professional experience in building, iterating and validating statistical models
- Familiar with either Optimization problems or Causal Inference.
- Strong in Statistics and Data Science.
- Fluency in Python
- Fluency in SQL
- Excellent communication and data presentation skills.- Familiar with Operations Research and Optimization problems and algorithms.
- Familiar with experiment design, causal inference, applied ML in segmentation and personalization, marketing measurement.
- Familiar with geospatial analysis.
- Strong fundamentals in problem solving, algorithm design and complexity analysis, especially in the geospatial domain.
- Strong academic and/or professional background in statistics.
- Industry experience in designing scalable solutions in the cloud.
- Familiar with the AWS ecosystem.
- Ability to deal with ambiguity and change.
- Ability to convey rigorous mathematical concepts and considerations to non-experts.
- Previous experience in a ML or Data Scientist role with a large company.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.