Job Description

Develop ML models to improve DoorDash's operational efficiency across its three-sided marketplace. The role involves building time-dependent statistical and ML models, owning the modeling lifecycle, and contributing to the development of an in-house Forecasting Self-Service Platform.

Responsibilities

• Build time-dependent statistical and ML models
• Own the modeling life cycle end-to-end
• Contribute to the development of in-house Forecasting Self-Service Platform
• Research new tools within the Forecasting space

Requirements

• M.S. and 3+ or PhD. and 1+ year(s) experience of developing advanced statistical and machine learning models in production
• Expertise with object-oriented programming and ML Libraries
• Deep understanding of complex systems such as Marketplaces
• Domain knowledge in Machine Learning, Causal Inference, Operations Research, Forecasting
• Experience of shipping production-grade ML models and optimization systems

Benefits

• No benefits