Key takeaways:

• Building and improving data quality through more testing
• Dividing work among geographically remote teams
• Quality decline as a symptom of team burnout
• Honing in on understanding the team's emotional and mental health

Meet:  Josh Scherbenski is the VP of Data at Zeus Living, where he leads the analytics, machine learning, data engineering, and pricing teams. His teams are located here in the US and remotely in Singapore. He has more than a decade of experience working in the data science and engineering fields where he’s developed multiple data architectures and machine learning data products from end-to-end. Prior to Zeus, Josh worked for NASA as a program manager and space systems engineer. After leaving NASA, he went on to work for Google and a couple of other startups, including Glassdoor, where he was the company’s first data scientist. He has an MBA and a Master’s of Engineering in Space Systems.

If you have any questions for Josh, please feel free to reach out via:

https://www.linkedin.com/in/joshscherbenski/

I hope you enjoyed the episode, the best place to connect with me is on Linkedin - https://www.linkedin.com/in/amirbormand (Amir Bormand). Please send me a message if you would like me to cover certain topics with future guests.