About the Team: Spark Driver Platform, which operates across all 50 US states with millions of drivers to help serve our customers with local delivery, has grown to become Walmart's largest local delivery service provider. The mission of our Spark Driver Applied AI team is to enhance efficiency and profitability by advancing the frontiers of machine learning, data science and economics. We develop highly reliable and scalable production systems to accelerate the growth of Spark Driver Platform. Our key focus areas include Capacity Planning, Driver Search, Driver Matching, Driver Offer Pricing, Driver Surge Pricing, Incentive Strategy, and ETA prediction. About the Role: As a Senior Applied Scientist, you will collaborate with business, product, and backend engineering teams to drive high-impact projects for Driver Matching and Personalization System. The machine learning solution in these domains vary from deep learning models, reinforcement learning models, recommendation systems, and causal ML models. You will play a critical role in driving innovation and optimizing revenue through the application of advanced statistical and machine learning techniques. The impact of this role is extremely high and directly contributes to reducing fraud/defects, enhancing efficiency, improving delivery reliability, and ensuring driver experience. About Team: Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, Walmart U.S. offers an extensive selection that our customers value, whether they shop online at Walmart.com, through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization. What you'll do: Collaborate with stakeholders to ensure that our data science product supports Walmart’s business objectives. Explore the latest trends in machine learning and optimization techniques to innovate solutions to solve high-impact and complex business problems. Build data pipelines from multiple sources and extract data insights using data exploration and visualization techniques. Design, implement, productionize, and deploy end to end machine learning solutions with consideration for optimality and computation complexity. Design and implement experiments to develop NorthStar metrics, draw unbiased and robust statistical inferences, and establish causality.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree
Number of Employees
1-10 employees