Super Data Science: ML & AI Podcast with Jon Krohn cover image

Super Data Science: ML & AI Podcast with Jon Krohn

786: The Six Keys to Data Scientists' Success, with Kirill Eremenko

May 24, 2024
Kirill Eremenko, CEO of Super Data Science, shares six key insights on data science careers, emphasizing practical skills, strong portfolios, mentorship, and collaboration. He discusses the importance of incorporating machine learning into web apps for enhancing employability and highlights the diverse backgrounds of remote-working data scientists.
27:21

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • Formal education not essential for data science; focus on practical skills.
  • Building and showcasing portfolios crucial for securing data science positions.

Deep dives

Insights on Data Science Careers

The episode delves into six major insights on data science careers. First, formal credentials are not a requisite for data science roles. Second, mentorship can be vital in a data science career, emphasizing the importance of reciprocal relationships. Third, building and showcasing portfolios are essential for securing data science positions. Fourth, hands-on labs provide practical experience to enhance portfolios and learning. Fifth, collaborations among community members enhance the learning experience. Finally, data scientists come from diverse backgrounds and can work from anywhere with internet connectivity.

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