The personalization algorithms used by digitally savvy companies are great at predicting what you might want next, but they don't do a good job of weeding out products that are obviously unwanted -- such as shoes that are the wrong size, writes Kaiser Fung, a statistician at Vimeo. Those "easy wins" may not require the work of a top-notch data scientist, but it would be great for customers, Fung writes. "Data scientists are vital to the future economy and advanced algorithms are an extremely important part of their work. But from a market-facing perspective, simplicity and quick wins should be part of the data science toolbox."
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