Product Owners in Data Science - Anna Hannemann

DataTalks.Club

English - November 11, 2022 16:00 - 54 minutes - 50 MB - ★★★★★ - 7 ratings
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Previous Episode: Building Data Science Practice - Andrey Shtylenko

Next Episode: From Digital Marketing to Analytics Engineering - Nikola Maksimovic

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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