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

The Netflix TechBlog

Stephanie Lane , Wenjing Zheng , Mihir Tendulkar Source credit: Netflix Within the rapid expansion of data-related roles in the last decade, the title Data Scientist has emerged as an umbrella term for myriad skills and areas of business focus. Learning through data is in Netflix’s DNA. It can be hard to know from the outside.

Analytics 207
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Mythbusting the Analytics Journey

The Netflix TechBlog

Working in Studio Data Science & Engineering (“Studio DSE”) was basically a dream come true. What was your path to working with data? My road-to-data was more of a stumbling-into-data. Within a few months I’d picked up BI tools, predictive modeling, and data ingestion/ETL. not exactly a head start.

Analytics 138
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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.

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A case for ELT

Abhishek Tiwari

Cheap storage and on-demand compute in the cloud coupled with the emergence of new big data frameworks and tools are forcing us to rethink the whole ETL and data warehousing architecture. Then we perform frequent batch ETL from application databases to a data warehouse. Classic ETL. then ELT is a more preferred option.