DataTalks.Club

The Secret Sauce of Data Science Management - Shir Meir Lador

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We talked about:

  • Shir’s background
  • Debrief culture
  • The responsibilities of a group manager
  • Defining the success of a DS manager
  • The three pillars of data science management
  • Managing up
  • Managing down
  • Managing across
  • Managing data science teams vs business teams
  • Scrum teams, brainstorming, and sprints
  • The most important skills and strategies for DS and ML managers
  • Making sure proof of concepts get into production


    • Links:

    • The secret sauce of data science management: https://www.youtube.com/watch?v=tbBfVHIh-38
    • Lessons learned leading AI teams: https://blogs.intuit.com/2020/06/23/lessons-learned-leading-ai-teams/
    • How to avoid conflicts and delays in the AI development process (Part I): https://blogs.intuit.com/2020/12/08/how-to-avoid-conflicts-and-delays-in-the-ai-development-process-part-i/
    • How to avoid conflicts and delays in the AI development process (Part II): https://blogs.intuit.com/2021/01/06/how-to-avoid-conflicts-and-delays-in-the-ai-development-process-part-ii/
    • Leading AI teams deck: https://drive.google.com/drive/folders/1_CnqjugtsEbkIyOUKFHe48BeRttX0uJG
    • Leading AI teams video: https://www.youtube.com/watch?app=desktop&v=tbBfVHIh-38


      • Free data engineering course: https://github.com/DataTalksClub/data-engineering-zoomcamp

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