Coding as an engineering manager is an exercise in cognitive dissonance. If you’ve just become a manager, you’ve likely been measuring success by the quantity and quality of the code you ship as an individual contributor (IC). Suddenly, you have new metrics for success and your day-to-day work looks wildly different. One mentor tells you […]
All posts categorized in: Data Science
Insights from applying scientific methods and algorithms to Indeed data to help people get jobs.
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) Detailed description of image The before and after image includes two screenshots: one of […]
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 […]