2023-04-18 –, Kuppelsaal
The title “Data Scientist” has been in use for 15 years now. We have been attending PyData conferences for over 10 years as well. The hype around data science and AI seems higher than ever before. But How are we managing?
Most of our conferences are about practical applications, methodologies, and platforms. In this talk, I want to focus on contemporary data science management. Including:
- Our patterns and antipatterns.
- The challenges we are facing as individual contributors, teams, managers, and leaders.
- How the data science function has matured.
- The unique aspects of Data Science compared to management in general, and software engineering in particular.
If you are a data scientist, or work with some of us, you might be interested to learn about what makes us tick, what makes us great colleagues, and yes, even what makes us challenging to work with 😉.
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Expected audience expertise: Domain:None
Abstract as a tweet:The title “Data Scientist” has been in use for 15 years now. We have been attending PyData conferences for over 10 years as well. The hype around data science and AI seems higher than ever before. But How are we managing? Let's talk about Data Science Management IRL.
Noa have been involved with the R and PyData communities for some time, with a focus on community building and DEI. They are a NumFOCUS member of the Board of Directors and DISC committee, PyLadies Organizer, and chaired the PyData Berlin 2022 conference. In addition, they are a Lead Data Science Coach at neue fische, contributing to pandas, and are currently developing the Contributor Experience Community and Handbook with Inessa Pawson and Melissa Mendonça.