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

The Netflix TechBlog

Our experimentation and causal inference focused data scientists help shape business decisions, product innovations, and engineering improvements across our service. We worked in different industries before joining Netflix, including tech, entertainment, retail, science policy, and research. Roxy Du (Product Innovation) [Roxy D.]

Analytics 207
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Innovation Versus Control

The Agile Manager

Firms in industries ranging from financial services to retail pharmacy to fast food aspire to be "platform companies." The sooner we reach the inflection point where a body of feedback confirms or contradicts a strategic decision, the more quickly we can move on to the next phase of our strategy, or change course.

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Intelligent, context-aware AI analytics for all your custom metrics

Dynatrace

A topological link to an entity only makes sense, of course, if the measurement that’s sent to Dynatrace has a semantic relationship to that entity. Let’s take the example of a globally distributed retailer that collects revenue measurements every minute for all its shops worldwide. Choose your monitoring strategy (i.e.,

Metrics 244
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Listen

The Agile Manager

Not to mention, the acceleration of innovation - a WSJ article recently cited a McKinsey study that had suggested 10 years of innovation was compressed into a 3 month window - has created opportunities that were not practical just a year ago. Is brick-and-mortar retail dead? Are cities dead? Is cash dead? These are less useful.

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How companies can become magnets for digital talent

All Things Distributed

And these talents are by no means coveted only by companies that always had a digital business model to begin with; suppliers to the automotive industry, financial services companies, and retailers also, urgently need product managers, and technical staff who can quickly make their organizations digitally attractive to their customers.