#100 How To Stand Out in the Data Science Industry

In this episode, Felipe reflects on the past year with Data Futurology. One of the key themes is organizational outcomes. There is a difference between what people find interesting in the data science role and what organizations need from their data scientists. Organizations want to make better decisions based on data. However, data scientists like playing with shiny new toys and using the latest technology. People think about leaving their jobs because it feels like they have used all the techniques that companies have to offer. Mainly, people want to collect algorithms. However, leaders say they have made an impact without knowing all of the algorithms or cutting edge methods. It can be boring to focus on the same algorithms.

Organizations need to focus on creating value by solving business problems. If you focus your efforts on solving traditional business problems with new approaches, it’s like a musician learning how to play instruments better. Whereas, data scientists want to learn how to play lots of different instruments. Learning the ins and outs of one algorithm will unlock various opportunities to create value for the organization. Plus, having a more in-depth understanding will allow for more creative applications. You don’t need more data or computing power; you need to be smarter with how you approach problems. Aim to be outcomes-driven and be better at using traditional tools.

“I fear not the man who has practiced 10,000 kicks once, but I fear the man who has practiced one kick 10,000 times.” -Bruce Lee

Enjoy the show!

We speak about:

[04:30] Introduction to organizational outcomes

[08:25] Creating value by solving business problems

[15:15] Change the way you approach problems

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