CTO Connection Podcast

Using Data Science to Deliver Tangible Business Outcomes with Ian Wong

October 08, 2020 peter@pbell.com (CTO Connection) Episode 107
CTO Connection Podcast
Using Data Science to Deliver Tangible Business Outcomes with Ian Wong
Show Notes

Companies have largely figured out software. Data science, however, seems to be the new frontier. Many data scientists are coming from largely academic backgrounds and maybe don’t understand how to function at jobs in the private sector. Today’s guest is Ian Wong, co-founder and CTO of Opendoor. He chatted with Peter about the questions data scientists can ask themselves to better align their work with tangible business outcomes.

Ian also discussed how the pandemic has led his team to talk about making remote-first work as a permanent practice. Tune in for his insights.

  • (01:10) - Studying at Stanford
  • (03:40) - Square and Prismatic
  • (04:48) - Clojure and Lisp-based languages
  • (08:41) - Co-founding Opendoor
  • (14;26) - Recruiting winners
  • (20:01) - Remote-first reality
  • (28:36) - The strategy of data science
  • (35:20) - Hiring data science practitioners
  • (39:27) - Managing stakeholder expectations
  • (41:41) - Questions to elicit competence

Special thanks to our global partner – Amazon Web Services (AWS). AWS offers a broad set of global cloud-based products to equip technology leaders to build better and more powerful solutions, reach out to aws-cto-program@amazon.com if you’re interested to learn more about their offerings.

CTO Connection is where you can learn from the experiences of successful engineering leaders at fast-growth tech startups. Whether you want to learn more about hiring, motivating or managing an engineering team, if you're technical and manage engineers, the CTO Connection podcast is a great resource for learning from your peers!

If you'd like to receive new episodes as they're published, please subscribe to CTO Connection in Apple Podcasts, Google Podcasts, Spotify or wherever you get your podcasts. If you enjoyed this episode, please consider leaving a review in Apple Podcasts. It really helps others find the show.

Podcast episode production by Dante32.