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Tag Archives: Data
Leveraging Flink to Detect User Sessions and Engage DoorDash Consumers with Real-Time Notifications
At Doordash, we value every chance to boost order conversions in the app.
How DoorDash Standardized and Improved Microservices Caching
As DoorDash’s microservices architecture has grown, so too has the volume of interservice traffic.
Addressing the Challenges of Sample Ratio Mismatch in A/B Testing
Experimentation isn’t just a cornerstone for innovation and sound decision-making; it’s often referred to as the gold standard for problem-solving, thanks in part to its roots in the scientific method.
DoorDash identifies Five big areas for using Generative AI
In the wake of ChatGPT and Generative AI DoorDash is identifying ways this new technology can enhance the customer’s ordering experience on the platform.
Using Metrics Layer to Standardize and Scale Experimentation at DoorDash
Metrics are vital for measuring success in any data-driven company, but ensuring that these metrics are consistently and accurately measured across the organization can be challenging.
2022 Summer Intern Projects Article #3
DoorDash offers our summer interns the opportunity to fully integrate with Engineering teams to get the kind of real industry experience that is not taught in the classroom.
Using CockroachDB to Reduce Feature Store Costs by 75%
While building a feature store to handle the massive growth of our machine-learning (“ML”) platform, we learned that using a mix of different databases can yield significant gains in efficiency and operational simplicity.
How DoorDash Upgraded a Heuristic with ML to Save Thousands of Canceled Orders
One challenge in running our platform is being able to accurately track Merchants’ operational status and ability to receive and fulfill orders.
Balancing Velocity and Confidence in Experimentation
Running thousands of experiments effectively means carefully balancing our speed with the necessary controls to maintain trust in experimental outputs–but figuring out that balance is never easy.