Practical AI cover image

Practical AI

Building a career in Data Science

Mar 16, 2020
Emily Robinson, a Senior Data Scientist at Warby Parker and co-author of 'Build a Career in Data Science', shares her expertise on optimizing the job search in data science. She discusses crafting resumes and cover letters that stand out, along with recognizing fair compensation for roles. Emily also highlights the importance of networking and adapting to various career paths, whether in startups or large firms. Her insights into navigating failures and the significance of communication in data-driven environments are invaluable for budding data scientists.
51:09

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • Optimize job search with tailored resume, cover letter, and portfolio.
  • Stay adaptable and continuously learn to succeed in evolving data science field.

Deep dives

Personal Background and Introduction to Data Science

The guest, Emily Robinson, a senior data scientist at Warby Parker, shares her journey into data science, starting with learning from Hadley Wickham in college and progressing through roles at Etsy, DataCamp, and now Warby Parker. Her academic background in decision sciences and organizational behavior laid the foundation for her transition into data science.

Remember Everything You Learn from Podcasts

Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
App store bannerPlay store banner