893: How to Jumpstart Your Data Career (by Applying Like a Scientist), with Avery Smith

893: How to Jumpstart Your Data Career (by Applying Like a Scientist), with Avery Smith

Author: Jon Krohn June 3, 2025 Duration: 1:17:51
Avery Smith is a passionate and motivational YouTuber and careers educator for data science. In this episode, Jon Krohn asks Avery about the tools and tricks he has learned from personal experience and from his students in how to get ahead in the tech industry. Avery shares the “learning ladder” he uses to help newcomers start on the right foot with great examples from former bootcamp students who have put his theories into practice. And, if you’re using LinkedIn to find jobs, Avery explains why this might be one of the reasons you’re not getting work. Additional materials: ⁠www.superdatascience.com/893 This episode is brought to you by Adverity, the conversational analytics platform and by the Dell AI Factory with NVIDIA Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: (04:02) How to take the jump into a data science career (15:19) Avery’s recommended strategy for starting a career in data science (18:10) Recommendations for people learning data science with LLMs (32:52) What should go into a data science portfolio  (46:07) Why Avery prefers practice over theory in teaching data science  (48:25) The bare minimum to get your first job in data science

Hosted by Dr. Jon Krohn, Super Data Science: ML & AI Podcast with Jon Krohn is a deep and accessible exploration of how artificial intelligence and machine learning are reshaping our world. Each episode features conversations with leading researchers, engineers, and entrepreneurs from both academia and industry, breaking down complex ideas into something tangible and relevant. You'll hear firsthand about emerging techniques, practical applications, and the evolving landscape of data-driven careers. The sheer volume of data in our world is growing at a staggering rate, and this podcast serves as a guide to understanding that expansion and finding your place within it. Rather than offering abstract theory, these discussions focus on real-world impact, from cutting-edge algorithms to the human stories behind major breakthroughs. Tune in for a thoughtful, nuanced look at the tools and trends that are defining the future, all through the lens of experts who are building that future every day. Whether you're actively working in the field or simply curious about the forces driving technological change, this podcast provides a consistent source of insight and inspiration, demystifying the science that is quietly transforming every aspect of our lives.
Author: Language: English Episodes: 100

Super Data Science: ML & AI Podcast with Jon Krohn
Podcast Episodes
916: The 5 Key GPT-5 Takeaways [not-audio_url] [/not-audio_url]

Duration: 9:40
GPT-5 has just been released, but with not very much fanfare. In this Five-Minute Friday, Jon Krohn asks if GPT-5 deserves the community’s underwhelmed response to its release. He outlines five features of the model and…
915: How to Jailbreak LLMs (and How to Prevent It), with Michelle Yi [not-audio_url] [/not-audio_url]

Duration: 1:09:33
Tech leader, investor, and Generationship cofounder Michelle Yi talks to Jon Krohn about finding ways to trust and secure AI systems, the methods that hackers use to jailbreak code, and what users can do to build their o…
913: LLM Pre-Training and Post-Training 101, with Julien Launay [not-audio_url] [/not-audio_url]

Duration: 1:15:16
Julien Launay launched Adaptive to give data science teams in business enterprises their “RLOps tooling” to make reinforcement learning easier. Talking to Jon Krohn, Julien says, “Most of our users are data scientists wh…
912: In Case You Missed It in July 2025 [not-audio_url] [/not-audio_url]

Duration: 32:38
In this episode of In Case You Missed It, we look back on five great interview episodes from July. Hear from Lilith Bat-Leah (Episode 901), Sinan Ozdemir (Episode 903), Sebastian Gehrmann (Episode 905), Zohar Bronfman (E…
909: Causal AI, with Dr. Robert Usazuwa Ness [not-audio_url] [/not-audio_url]

Duration: 1:22:27
Researcher at Microsoft Robert Usazuwa Ness talks to Jon Krohn about how to achieve causality in AI with correlation-based learning, the right libraries, and handling statistical inference. When dealing with causal AI, R…