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Ken's Nearest Neighbors
Why Data Scientists Should Break Things (Daniel Parris) - KNN Ep. 163
Aug 16, 2023
Daniel Parris, a data scientist and journalist, shares insights on working at a fast-growing company like DoorDash, the importance of learning from mistakes, pursuing consulting and data journalism, and the significance of a data-first mindset in organizations. He also discusses the value of non-traditional resumes, integrating data to create value, and embracing failures for course correction.
01:08:17
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Quick takeaways
- Having a strong network is crucial for success in the entertainment industry and data science profession.
- Taking accountability for mistakes and learning from them leads to positive outcomes.
Deep dives
The Power of Networking and Building a Strong Network
In this podcast episode, Daniel Paris, a data scientist and data journalist, highlights the importance of having a strong network in the entertainment industry and data science profession. He emphasizes that being one of the better candidates is not enough to secure a job, but having a network of connections can significantly improve career prospects. He shares his own experiences of building relationships and convincing people to like him, which proved valuable throughout his career. This insight underscores the significance of networking in the entertainment industry and beyond.
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Discover
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