Skip to content
    Data Science Leaders | Episode 31 | 30:20 | December 14, 2021

    Empowering Big Teams to Take on Even Bigger ML Challenges

    Get new episodes in your inbox
    powered by Sounder



    Managing a large enterprise team of data scientists can be a complicated undertaking. There are so many opportunities, big and small, to serve the business with AI and machine learning. How do you ensure your teams are focused on the big picture without getting bogged down in the minutiae of the day to day?

    Jan Neumann, Executive Director, Machine Learning at Comcast, leads a team of about 300 data scientists, divided into eight different focus areas. If anyone knows how to manage a large data science team, it’s him.

    In this episode, he shares his strategies for effectively managing a team of this scale in the enterprise. Plus, he explains why he prioritizes continued learning, and shares tips for building out a feature store.

    We discuss:

    • Managing large data science teams at scale
    • Making time to gain knowledge from the ML community
    • What a feature store is and why data scientists should care

    Mentioned during the podcast:

    Popular episodes

    Embedding Responsible AI in Your Models and Your Team

    44:26 | Episode 34 | January 18, 2022

    Supply Chain Solutions and the Role of the ML Engineer

    38:04 | Episode 33 | January 11, 2022

    Legal Analytics: Winning Business, Winning Cases, and Winning...

    30:06 | Episode 32 | January 4, 2022

    See why Fortune 100 data science leaders choose Domino