All posts categorized in: Data Science

Insights from applying scientific methods and algorithms to Indeed data to help people get jobs.

Normalizing Resume Text in the Age of Ninjas, Rockstars, and Wizards

Left to right: Ninja by Mwangi Gatheca, Rockstar by Austin Neill and Magic by Pierrick Van Troost At Indeed we help people get jobs, which means understanding resumes and making them discoverable by the right employers. Understanding massive amounts of text is a tricky problem by itself. With source text as varied as resumes, the problem […]

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Time-Tested: 7 Ways to Improve Velocity When A/B Testing a New UX

A/B testing holistic redesigns can be tough. Here at Indeed, we learned this firsthand when we tried to take our UX from this to this: The Indeed mobile Search Engine Results Page (SERP) circa mid-2017 (left) and circa mid-2018 (right) Things didn’t go so hot. We’d spent months and months coming up with a beautiful […]

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The Evolving Language of Data Science 

…or Grokking the Bokeh of Scarse Meaning Increasement “You keep using that word. I do not think it means what you think it means.” — Dr. Inigo Montoya I’m a technical writer at Indeed. One of the many great things about my job is that I get to work with smart people every day. A […]

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