Dive into our blog where we turn complex data into clear, actionable insights. Stay tuned for fresh perspectives and expert advice from the heart of Automattic’s data team.
Five perspectives on working remotely in a company distributed across the planet.
Today, I wanted to share how we’ve empowered colleagues outside the data engineering team to write their own data transformations by overcoming coding language barriers. Within our Data team, there are several specializations: Data Analysts create dashboards and analyze data for business leads and product teams across the company. Data Scientists apply machine learning technology at…
A few of my colleagues — with tenures at Automattic from just a few months to many years — share their highlights of working here. Robert Felty Robert, you rejoined us a few months ago. What has been your highlight so far? I would like to focus on one aspect of Automattic which has been dramatically…
I asked my colleagues in India, the United States, the Netherlands, and Germany about how the COVID‑19 pandemic has affected them. They share how reducing their time online has helped them, and compare their experience at Automattic with those they had at companies that are not fully distributed. Anand Nalya Anand, how has COVID‑19 affected you…
Vicki Boykis shares some tips on how to teach beginners to code.
Greg, Anna, Anand, Anna, and Robert — who come from a variety of backgrounds ranging from fullstack software development to linguistics, hardcore math, and more — share how they came to work with data at Automattic.
Boris Gorelik recently joined us to present on The Biggest Missed Opportunity in Data Visualization based on his recent talk at the NDR conference. Boris was a data scientist at Automattic, is now a data science consultant, and blogs regularly on data visualization and productivity. Some of highlights (along with a handy timestamp) include: Keep the…
Yanir Seroussi shares some insight into the common pitfalls of statistical bootstrapping and how to avoid them.
Do natural language processing tools from Amazon and Google contain racial and gender bias? Charles Earl investigates.
Charles Earl shares the insights he gleaned after hearing a talk from Dr. Christo Wilson about ethics in online behavioral experiements.