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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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End-to-end observability provides deep insights into user behavior for British Columbia Lottery Corporation

Dynatrace

People now depend on digital experiences for access to goods, services, and entertainment. BCLC is a government ministry corporation that provides lottery, casino, and sports betting services to benefit the province’s healthcare, education, and community programs.

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Data Engineers of Netflix?—?Interview with Kevin Wylie

The Netflix TechBlog

In this post, Kevin talks about his extensive experience in content analytics at Netflix since joining more than 10 years ago. I started my career as an application developer with basic familiarity with SQL. I had been a happy subscriber of Netflix’s DVD-rental program (no late fees!) Kevin, what drew you to data engineering?

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Dynatrace RUM expands coverage for modern mobile UI frameworks

Dynatrace

More development teams across enterprises are adopting new mobile UI frameworks, namely SwiftUI,NET MAUI, and Android’s latest toolkit, Jetpack Compose. This allows developers to focus more of their efforts on innovation and delivering the best user experience to their customers. As people typically spend 4.8

Mobile 272
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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. We talked to scientists from areas like Payments & Partnerships, Content & Marketing Analytics Research, Content Valuation, Customer Service, Product Innovation, and Studio Production. & Wenjing Z.]

Analytics 207
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Netflix: A Culture of Learning

The Netflix TechBlog

Earlier posts in this series covered the why, what and how of A/B testing, all of which are necessary to reap the benefits of experimentation for product development. There are never any shortcuts when developing and growing culture, and fostering a culture of experimentation is no exception.

Education 238
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Experimentation is a major focus of Data Science across Netflix

The Netflix TechBlog

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. Growth Advertising At Netflix, we want to entertain the world !