We're a distributed company with employees in 42 countries. Help us influence the 23% of the web that runs on WordPress.
We're building out our data infrastructure. Each day we handle:
- 3.5 Million New Posts & Comments From 196 countries
- 39 Million Elasticsearch Queries In 144 languages
- 33 Terabytes of Elasticsearch Data for 175M+ Unique Visitors
- 0.5 billion pageviews
- Millions of events streaming through Kafka, Hive, Impala, eventually Spark
No walls around the garden. Make the Open Web a smarter place.
We're really hiring both data scientists and data engineers. In my case I do a bit of both, but lean more towards scaling large systems. We also have folks who fall squarely into either the scientist or engineer camps.
Titles can never capture the spectrum of what a person can or wants to do. Scaling large data processing and storage systems, understanding user behavior, deploying everything from simple ranking to advanced machine learning, integrating clever algorithms seamlessly with front end web development to create fluid experiences for our users... All of this is important to us.
You mentioned to Akumma that "the pre-test before the trial project depends on the position. For Data Wranglers it is very different from the one you had."
So, given that you're hiring both data scientists and data engineers, do you give a different pre-test, depending on which role the candidate leans more towards?