The Netflix TechBlog

MARCH 2, 2021

Our experimentation and causal inference focused data scientists help shape business decisions, product innovations, and engineering improvements across our service. In this post, we discuss a day in the life of experimentation and causal inference data scientists at Netflix, interviewing some of our stunning colleagues along the way.

Analytics 207

Analytics Innovation C++ Engineering 207

Highly Scalable

MARCH 10, 2015

More specifically, the article was inspired by three major case studies from Albert Heijn [KOK07], the largest supermarket chain in the Netherlands, Zara [CA12], an international apparel retailer, and RueLaLa [JH14], an innovative online fashion retailer. The gross margin metric, in the sense it is used in the equations (1.2)

Retail 152

Retail C++ Analytics Metrics 152

The Netflix TechBlog

MARCH 25, 2019

Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and Efficiency By: Di Lin , Girish Lingappa , Jitender Aswani Imagine yourself in the role of a data-inspired decision maker staring at a metric on a dashboard about to make a critical business decision but pausing to ask a question?—?“Can

Infrastructure 219

Infrastructure Big Data Transportation Architecture 219

The Netflix TechBlog

SEPTEMBER 10, 2019

ABlaze: The standard view of analyses in the XP UI Suppose you’re running a new video encoding test and theorize that the two new encodes should reduce play delay, a metric describing how long it takes for a video to play after you press the start button. Getting Data with the Metrics Repo 2. Not at Netflix.

Metrics 215

Metrics Architecture Infrastructure Innovation 215