Leveraging Causal Modeling to Get More Value from Flat Experiment Results
Using Heterogeneous Treatment Effects to improve personalization
Data Science & Machine Learning
Retraining Machine Learning Models in the Wake of COVID-19
When the COVID-19 pandemic significantly changed how people took their meal, DoorDash had to retrain demand prediction machine learning models.
Supporting Rapid Product Iteration with an Experimentation Analysis Platform
DoorDash engineers built Curie, a new experimentation analysis platform, to better gauge the success of product experiments.
Using a Human-in-the-Loop to Overcome the Cold Start Problem in Menu Item Tagging
Learn how we built a classification model quickly, cheaply, and at scale