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Hi Data Geek.
This week, I’ve found this group of open roles in the Data space that could be very lucrative for you.
As always, I will share an idea with each role how to make a better job in the application:
- Data Analyst (Healthcare) at X-Team: I’m a little biased here, but my company is awesome is looking for a Data Analyst based in Europe. IDEA: Chat with my colleague Daniela here
- Data Engineer at Fetcherr (Warsaw, Poland). IDEA: Read this article on Techcrunch
- Data Engineer at McDonald’s (Chicago, IL). IDEA: Watch this interesting talk from Kurt Schuepfer and Patrick Wilkins about how McDonald’s uses Machine Learning to Optimize Restaurant Site Selection
- Data Engineer at VISA (Bengaluru, India). IDEA: Read our post about VISA here
- Senior Analytics Engineer at Ramp (New York, San Francisco, Remote). IDEA: Read our post about Ramp
- Software Engineer (Product) at Numeral (Remote US). IDEA: Read how Numeral customers are using the product
- Software Engineer (Infra / Big Data) at Paces (New York, USA). IDEA: Read this report and bring some ideas to the interview.
Quote of the week
Interesting resources
- How DoorDash is pushing experimentation boundaries with interleaving designs, by Tim Knapik and Stas Sajin
- The Browser Company and AI
- The Elon Musk Playbook, by The Generalist
- Your perfectionism is a gift. Here's how to use it with Katherine Morgan Schafler and Jessi Hempel of Hello Monday
- Use these tips from Bonnie Dilber to not be scammed when you are looking for a new job
- According to Jordan Cutler: You won't be replaced by AI. You'll be replaced by an 8-year old using AI. Time to level up your AI skills.
- My 5-step process to debug any issue (I am faster than anyone else) by Francisco Soto Ramirez
Happy job hacking
Marcos out