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

The Netflix TechBlog

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 207
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Mythbusting the Analytics Journey

The Netflix TechBlog

A visual representation of all the jobs I had in high school and college: From pizza, to gourmet rice krispie treats, to clothing retail, to doors and locks After receiving a grand total of *zero* interviews from sending out my resume, the natural next step was…more school. I held plenty of jobs as a student, but now I needed a career.

Analytics 138
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A case for ELT

Abhishek Tiwari

Last but not least, ELT attracts a very different type of audience - data scientists who want to perform more exploratory analysis and ad-hoc interactive queries. This type of analysis is greatly eased by open source tools such RStudio, Jupyter, Zeppelin along with scripting languages R and Python.

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Organise your engineering teams around the work by reteaming

Abhishek Tiwari

Let's take an example of retail as a domain of interest. One way to create a Spotify model inspired engineering organisation is to organise long-lived squads by retail business process hubs - i.e. specialisation around business process. It is one of the ways you can organise your engineering teams in a retail environment.