E07 Zhen Wang, Data Science Manager at Wayfair

Welcome to episode seven of AI Mentors, the podcast that helps you pave the way for a successful career in the world of Data Science and AI.

Powered by Alldus International the premium AI Workforce Solutions, our top consultant’s interview AI Leaders and Data Scientists from around the world about their personal journey to becoming a front-runner in AI. Guests offer practical advice to those interested in becoming a leader in Data Science and AI.

In this episode, our guest is Zhen Wang. Zhen is an experienced health and marketing data scientist who leads the data science team to support direct mail and display programs at Wayfair. She is responsible for leading Wayfair’s innovations in customer-level real-time bidding, uplift modeling, personalized display advertisement and 3rd party data implementation.

Zhen moved to Boston for the Insight Health Data Science program and eventually joined Wayfair when she got really excited about the data challenges and learning opportunities at their Data Science team. She is also an avid science fiction reader and also likes to spend her free time thinking about ideas to apply machine learning to understand principles of traditional Chinese medicine.

In the episode, Zhen will share with you:

  • Why she loves working in Data Science
  • 3 key tips on making the move from academia into industry
  • How Wayfair use Data Science to influence the customer journey
  • Advice on how to interview more effectively
  • Building the ideal Data Science team



To find out more about Zhen and the work they do at Wayfair, you can check out more at Wayfair’s Technology Blog or you can connect with her on Linkedin

What were your key learns from Zhen’s podcast? What takeaways did you gain from the show to help in your Data Science aspirations? I would love to hear your thoughts so please leave a comment below.

If you would like to hear more from the AI Mentors podcast then please subscribe and don’t forget to like and share with your friends on social media.

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