episode 33

Supply Chain Solutions and the Role of the ML Engineer

Data Science Leaders | 38:04 | January 12, 2022

Data Science Leaders: Karin Chu

Get new episodes 
in your inbox

Return to podcast home

When highly disruptive events like the COVID-19 pandemic occur, data science teams may have to throw historical data out the window. Models trained on what happened in the past simply don’t work in a radically different present.

In this episode, Karin Chu, VP Data Science and Digital Analytics at Peapod Digital Labs, discusses how her team is tackling that challenge head on, particularly as the global supply chain crisis impacts sectors from grocery to apparel.

Plus, she explains why two things are so vital to the success of a data science team: ML engineers and a culture of communication.

We discuss:

  • How data science teams are navigating the supply chain crisis
  • The vital role of an ML engineer
  • Tips for communicating about data science in business

Popular episodes

James Cham

Partner, Bloomberg Beta

EPISODE 71April 11, 2024

Unlocking the disruptive potential of generative AI: a VC perspective

Listen Now | 28:49

Volodimir Olexiouk

Director of Scientific Engagement and Data Science Team Lead, BioLizard

EPISODE 70March 28, 2024

Overcoming the data challenges of AI-driven drug discovery

Listen Now | 36:49

Rahul Todkar

Head of Data and AI, Tripadvisor

EPISODE 69March 14, 2024

AI Will Plan Your Next Vacation: GenAI at Tripadvisor

Listen Now | 30:11

See why Fortune 100 data science leaders choose Domino