DataTalks.Club

Product Owners in Data Science - Anna Hannemann

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We talked about:

  • About Anna and METRO
  • Anna’s background
  • The importance of a technical background for data product owners
  • What are product owners?
  • Product owners vs product managers
  • Anna’s work on recommender systems at METRO
  • Expanding the data team
  • Types of algorithms used for recommender systems
  • What kind of knowledge and skills data product owners need to have
  • Problems and ideas should come from the business
  • How Anna handles all her responsibilities
  • The process for starting work on new domains
  • Product portfolio management
  • ProductTank and Anna’s role in it
  • Anna’s resource recommendations


    • Links:

    • Data Science for Business Book: https://www.amazon.de/-/en/Foster-Provost/dp/1449361323/ref=sr_1_1?keywords=data+science+for+business&qid=1666404807&qu=eyJxc2MiOiIxLjg3IiwicXNhIjoiMS41MiIsInFzcCI6IjEuNDYifQ%3D%3D&sr=8-1
    • Article on Data Science Products: https://www.linkedin.com/pulse/way-create-data-science-products-lessons-learnt-anna-hannemann-phd/


      • ML Zoomcamp: https://github.com/alexeygrigorev/mlbookcamp-code/tree/master/course-zoomcamp

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