Practical AI

Building a career in Data Science

Mar 16, 2020
Guest
Emily Robinson
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.
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ANECDOTE

Emily's Data Science Journey

  • Emily Robinson learned R from Hadley Wickham at Rice University.
  • She transitioned from academia to data science after getting a master's degree.
INSIGHT

Welcoming R Community

  • The R community is known for being welcoming and friendly.
  • It's especially supportive of those who prioritize the results of their code over perfect syntax.
INSIGHT

Book's Origin

  • Meeting Jacqueline at a conference led to co-authoring "Build a Career in Data Science".
  • The book aims to provide a comprehensive resource they wished they had.
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