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An introduction to Data Science Remote Work
On June 25th, we'll explore how The COVID-19 crisis has impacted data science activities in various ways: from the raw material, data, to the constraints and needs of our organizations and the way we work and interact with colleagues.
@VivienT (Director of AI Consulting, Dataiku) and @Lรฉo (Research Director, Dataiku) will share guidelines and practical tips from their experience working in the field with Dataiku's customers and partners. The following topics will be addressed to help data practitioners better navigate these times:
- Reframing data science projects,
- Detecting broken models,
- Retraining models,
- Doing data science from afar,
- Developing new skills.
If youโre interested in learning more about Anomaly Detection, please join us next week!
For more resources about Data Science Remote Work:
- Exchange on Best Practices & Pitfalls of Remote Data Science Work - Recap
- Tips & resources for remote work in data science
- Remote Data Science: How to Make it Work
- Creating a Collaboration-Driven Data Team With Ubisoft
