Super Data Science: ML & AI Podcast with Jon Krohn

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

68 snips
Jun 3, 2025
Avery Smith, founder of Data Career Jumpstart and host of the Data Career Podcast, shares his insights on breaking into data careers. He introduces the 'learning ladder' to guide newcomers and highlights the importance of hands-on experience over theoretical knowledge. Avery discusses key strategies for building an impressive portfolio and utilizing LinkedIn effectively for job applications. He emphasizes tackling self-doubt, practical projects, and networking as vital components for success in the competitive tech landscape.
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ANECDOTE

Incremental Career Pivot

  • Avery Smith transitioned incrementally from a chemical lab technician to a junior data analyst at his company.
  • He started with 25% data analyst tasks, gradually increasing to 100%, escaping hazardous lab work safely.
ADVICE

Strategic Data Learning Ladder

  • Start learning data tools in the order of Excel, Tableau, SQL, then Python for efficiency.
  • Prioritize skills that are both in high demand and easier to learn first to get your foot in the door fast.
ADVICE

Leverage AI Tools Wisely

  • Use large language models like ChatGPT and Claude to work smarter, not to replace your skills.
  • AI tools can get you 60-70% of the way in coding but you must know programming to correct AI mistakes.
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