A/B Testing Staffing Workflows 
Harvard Business Review
NOVEMBER 6, 2018
In slightly bigger teams, each of these may be a role staffed by one or more individuals. Data infrastructure: data ingestion, availability, operations, access, and running environments to support workflows of data scientists. Here are five key areas that contribute to data science operations. e.g. running Kafka and a Hadoop cluster.
Andrew Chen
NOVEMBER 13, 2018
There’s a long laundry list of skills that are critical, but not often considered core to the product: adtech integrations, signup funnel A/B testing, optimizing notification delivery, testing price points, testing cohort curves, etc. This can work, but then the team needs to be staffed properly.
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