Beschreibung
vor 4 Jahren
Anna is a Domain Owner of Data Science at Metro.digital - an IT
devision of METRO AG - driving the story of data science within the
whole Metro business. Previous to this position, being a product
owner, Anna guided five recommender systems to their success. This
journey included transition to cloud, introduction of agile working
principles, and the most important – the step from PoC to live
products. Before recommender systems, Anna focused on robotics and
smart logistics at Zalando SE. As a product manager, she was
responsible for warehouse automation with bagsorter system, which
included transition to cloud, third party integration, negotiation
and planning of constructional and IT interplay. Anna has a strong
empathy for the owned products and their users and believes you
have to love what you do! Here's what you can take away from the
episode: • Why the combination of Data Science and Product
Management is so important • Why a data science leader must speak
and understand the tech and business language • Play time is over -
organizational requirements for companies to really get it on the
road • Team setup, roles and collaboration • Starting and entering
the Data Science world • Women in Data Science
devision of METRO AG - driving the story of data science within the
whole Metro business. Previous to this position, being a product
owner, Anna guided five recommender systems to their success. This
journey included transition to cloud, introduction of agile working
principles, and the most important – the step from PoC to live
products. Before recommender systems, Anna focused on robotics and
smart logistics at Zalando SE. As a product manager, she was
responsible for warehouse automation with bagsorter system, which
included transition to cloud, third party integration, negotiation
and planning of constructional and IT interplay. Anna has a strong
empathy for the owned products and their users and believes you
have to love what you do! Here's what you can take away from the
episode: • Why the combination of Data Science and Product
Management is so important • Why a data science leader must speak
and understand the tech and business language • Play time is over -
organizational requirements for companies to really get it on the
road • Team setup, roles and collaboration • Starting and entering
the Data Science world • Women in Data Science
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