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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

I wasn’t even entirely sure what the right role fit would be and originally applied for a different position, before being redirected to the Analytics Engineer role. Working in Studio Data Science & Engineering (“Studio DSE”) was basically a dream come true. As a business intelligence analyst, I gained data science skills.

Analytics 138
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Organise your engineering teams around the work by reteaming

Abhishek Tiwari

When it comes to organising engineering teams, a popular view has been to organise your teams based on either Spotify's agile model (i.e. One thing stand-out to me is being intentional and practical about your engineering organisation design. Let's take an example of retail as a domain of interest. And there lies the problem.

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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.