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 Applied 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 5+ years of building machine learning models or developing algorithms for business application experience
Experience programming in Java, C++, Python or related language
Experience in solving business problems through machine learning, data mining and statistical algorithms
Experience in investigating, designing, prototyping, and delivering new and innovative system solutions
Preferred
Currently has, or is in the process of obtaining, a PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
Experience applying theoretical models in an applied environment
Experience in professional software development
Have publications at top-tier peer-reviewed conferences or journals