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My (Seemingly) Random Walk to Netflix

The Netflix TechBlog

Part of our series on who works in Analytics at Netflix?—?and 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.

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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. Modern development frameworks pose unique challenges when it comes to monitoring.

Mobile 259
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A Day in the Life of an Experimentation and Causal Inference Scientist @ Netflix

The Netflix TechBlog

Together with data analytics and data engineering, we comprise the larger, centralized Data Science and Engineering group. Our experimentation and causal inference focused data scientists help shape business decisions, product innovations, and engineering improvements across our service. Roxy Du (Product Innovation) [Roxy D.]

Analytics 207
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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. Growth Advertising At Netflix, we want to entertain the world ! Curious to learn more?

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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. We’ve also invested in education programs to up-level company-wide understanding of how we use A/B tests as a framework for product development. But without a little magic, these basics are still not enough.

Education 238