The Netflix TechBlog

MARCH 2, 2021

At Netflix, our data scientists span many areas of technical specialization, including experimentation, causal inference, machine learning, NLP, modeling, and optimization. Together with data analytics and data engineering, we comprise the larger, centralized Data Science and Engineering group.

Analytics 216

Analytics C++ Innovation Engineering 216

The Netflix TechBlog

JANUARY 11, 2022

To learn about Analytics and Viz Engineering, have a look at Analytics at Netflix: Who We Are and What We Do by Molly Jackman & Meghana Reddy and How Our Paths Brought Us to Data and Netflix by Julie Beckley & Chris Pham. Curious to learn about what it’s like to be a Data Engineer at Netflix?

Innovation 245

Innovation Metrics Engineering Testing 245

O'Reilly

JULY 15, 2020

Technical roles represented in the “Other” category include IT managers, data engineers, DevOps practitioners, data scientists, systems engineers, and systems administrators. Just under 44% cited the benefit of “better overall scalability,” followed (43%) by “more frequent code refreshes.” Footnotes.

Database 145

Database Architecture Education Systems 145

The Netflix TechBlog

JANUARY 6, 2025

Batch processing data may provide a similar impact and take significantly less time. Its easier to develop and maintain, and tends to be more familiar for analytics engineers, data scientists, and data engineers. Additionally, if you are developing a proof of concept, the upfront investment may not be worth it.

Analytics 202

Analytics Engineering Cache Entertainment 202