How to become a better data scientist: the definite guide with Alexey Grigorev

We all know what we need to do to be good data scientists: know machine learning, be able to program, be fluent in SQL and Python. That’s enough to do our job quite well. But what does it take to be a better data scientist?

The best way to grow as a data scientist is to step out of direct responsibilities and try on the hats of a product manager as well as a DevOps engineer. In particular, we should:
- be pragmatic and product-oriented
- communicate more
- get into infrastructure

After listening to this talk, you will know how exactly we should do it.

Alexey lives in Berlin with his wife and son. He’s a software engineer with a focus on machine learning. He works at OLX Group as a Lead Data Scientist. Alexey is a Kaggle master and he wrote a couple of books. One of them is “Mastering Java for Data Science” and now he’s working on another one — “Machine Learning Bookcamp”.

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Connect with Alexey on LinkedIn: https://www.linkedin.com/in/agrigorev/