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Greater Than Code

178: Data Science and Sponsorship with Emily Robinson

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02:30 - Emily’s Superpower: Finding all the dogs to pet.

05:05 - Emily’s Data Science Journey

  • Organization Behavior
  • Qualitative / Quantitative
  • Research: Women in STEM Fields

08:21 - The Idea of Passion

10:46 - Defining Data Science

  • Analytics
  • Decision Science
  • Machine Learning

13:48 - Emily’s Book: Build a Career in Data Science

16:11 - Dealing with Failure

18:30 - Sponsorship

20:08 - The Spread of Data Science Roles

27:09 - Sponsorship (Cont’d)

36:20 - Themes Learned From Writing Build a Career in Data Science

  • Communication Skills
  • Proactivity
  • Community (Network is Important)

40:02 - Companies Should Train People to be Mentors

43:07 - Measuring Productivity

45:48 - External vs Internal Data Science

  • People Scientists

47:18 - Women and Diverse Representation in Data Science

Reflections:

Avdi: Mentorship does not have to be a huge commitment to be useful and sponsorship is often as important -- or more important than mentorship.

Chanté: What are the things that we’re willing to do for people who need an extra boost or push or support?

Jacob: Mentorship is possible without the mentors knowing they’re even doing it.

Rein: If you’re a mentor and your mentees aren’t coming to you with well-formed questions, it’s your job to coach them into that as a mentor.

Emily: There aren’t enough resources for senior engineers on the non-technical side of things.

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Special Guest: Emily Robinson.

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