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A Survey of Causal Inference Applications at Netflix

The Netflix TechBlog

At Netflix, we want to entertain the world through creating engaging content and helping members discover the titles they will love. However, when the topic of holdback tests is raised, it can seem too complicated in terms of experimental design and/or engineering costs.

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Demystifying Interviewing for Backend Engineers @ Netflix

The Netflix TechBlog

The engineers assess your technical skills by asking you to solve various design and coding problems. Some of the areas for which we are actively seeking backend engineers include Streaming & Gaming Technologies, Product Innovation, Infrastructure, and Studio Technologies. For more information on the culture, see [link].

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My (Seemingly) Random Walk to Netflix

The Netflix TechBlog

That person grew up dreaming of working in the entertainment industry. Upon graduation, they received an offer from Netflix to become an analytics engineer, and pursue their lifelong dream of orchestrating the beautiful synergy of analytics and entertainment. Pretty straightforward, right?!

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Dynatrace RUM expands coverage for modern mobile UI frameworks

Dynatrace

This allows developers to focus more of their efforts on innovation and delivering the best user experience to their customers. We use mobile apps to communicate, entertain us, conduct business, shop, and much more—on the go, anytime and anywhere.

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What is chaos engineering?

Dynatrace

In 2009, the purveyor of online videos migrated to AWS cloud infrastructure to deliver its entertainment to a growing audience. It created more uncertainty than the load balancing issues the entertainment firm saw in its data centers. Accelerates innovation. Advances collaboration. Improves customer satisfaction.

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Netflix: A Culture of Learning

The Netflix TechBlog

The secret sauce that turns the raw ingredients of experimentation into supercharged product innovation is culture. As discussed in Part 6 , there are experimentation and causal inference focussed data scientists who collaborate with product innovation teams across Netflix. But without a little magic, these basics are still not enough.

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Experimentation is a major focus of Data Science across Netflix

The Netflix TechBlog

Here we describe the role of Experimentation and A/B testing within the larger Data Science and Engineering organization at Netflix, including how our platform investments support running tests at scale while enabling innovation. To enable scale, we’ve built, and continue to invest in, an internal experimentation platform (XP for short).