Optimize the delivery experience for consumers and delivery partners on Gopuff's platform across dispatch optimization, delivery routing/ETAs, driver pricing/incentives, and the delivery partner experience
Requirements
- Expert in machine learning, statistics, and experimentation
- Proficient in Python, SQL, and source control management tools
- MS or PhD in Operations Research, Mathematics, Statistics, Economics, Computer Science, Engineering or a related field with 2+ years of experience working in delivery and/or logistics (or 8+ years of industry experience in data science)
Responsibilities
- Own the end-to-end development and operation of deep learning–based ETA prediction systems—building features, training/testing models, running experiments, monitoring and explaining performance in production
- Collaborate with our business, product, and engineering partners across the organization to vision and deliver data science solutions for practical business problems
- Deeply understand our users, our products, and our data to identify opportunities for creating machine learning, optimization and causal inference solutions to deliver a better customer experience and make our business more efficient
- Build data driven, robust and replicable data science models
- Use experimentation and causal inference to measure the impact of our models on user engagement and business metrics
Other
- MS or PhD in Operations Research, Mathematics, Statistics, Economics, Computer Science, Engineering or a related field
- 2+ years of experience working in delivery and/or logistics (or 8+ years of industry experience in data science)
- Strong ability in translating ambiguous business problems into well-defined technical objectives and providing concrete data science solutions
