At Stitch Fix we have 130+ “Full Stack Data Scientists” who in addition to doing data science work, are also expected to engineer and own data pipelines for their production models. One data science team, the Forecasting, Estimation, and Demand …
Supercharging our Data Scientists’ Productivity at Netflix
Netflix’s unique culture affords its data scientists an extraordinary amount of freedom. They are expected to build, deploy, and operate large machine learning workflows autonomously with only limited experience in systems or data engineering. …
Tying the Room Together: Apache Arrow and the Next Generation of Data Analytics Systems
In this talk, I will discuss the coming architectural shift in data analytics systems that has been enabled by the widespread adoption of Apache Arrow, a universal language-independent standard for analytical data processing, and companion …
Scaling Online ML Predictions to Meet DoorDash Logistics Engine and Marketplace Growth
As DoorDash business grows, the online ML prediction volume grows exponentially to support the various Machine Learning use cases, such as the ETA predictions, the Dasher assignments, the personalized restaurants and menu items recommendations, and …
Machine Learning is Going Real-Time
This talk covers different levels of real-time machine learning, their use cases, challenges, and adoption.
