Continuing the discussion from the Building Effective Data Science Teams Webinar:
What is your perspective on team characteristics that allow resilience in the face of delivering negative results, or being able to handle that well?
Our panelists for this webinar were:
- Kobi Abayomi, Senior VP of Data Science at Warner Music Group
- Gregory Berg, VP of Data Science at Caliber Home Loans
- Elaine McVey, VP of Data Science at The Looma Project
- Jacqueline Nolis, Head of Data Science at Saturn Cloud
- Nasir Uddin, Director of Strategy & Inspirational Analytics at T-Mobile
- Moderated by Julia Silge, Software Engineer at RStudio, PBC
Some discussion in the webinar:
Kobi: I’m not going to say anything related to scientific characteristics. I think a baseline level of competence, maturity, and having experience of trying things, allows you to be honest with what you’re doing and what output it generates. One of the gospels I preach at my job is the experimental design philosophy. We’re not generating one answer. Answers aren’t static things. Experiments have different results. I flip a coin once, I get heads. I flip another time, I get tails. Have a structure and apparatus in place that can generate an answer at the time that it’s asked. Sometimes, you’ll get an answer you like, sometimes you get an answer in a direction. All of that is information, and we try to treat what we offer to the business as something that’s come from an experimental investigation.