Podcasts Technology Towards Data Science 28. Emily Robinson - Building a Career in Data Science

28. Emily Robinson - Building a Career in Data Science

Published: April 7, 2020, 4:36 p.m.

It\u2019s easy to think of data science as a purely technical discipline: after all, it exists at the intersection of a number of genuinely technical topics, from statistics to programming to machine learning.

\n

But there\u2019s much more to data science and analytics than solving technical problems\u200a\u2014\u200aand there\u2019s much more to the data science job search than coding challenges and Kaggle competitions as well. Landing a job or a promotion as a data scientist calls on a ton of career skills and soft skills that many people don\u2019t spend nearly enough time honing.

\n

On this episode of the podcast, I spoke with Emily Robinson, an experienced data scientist and blogger with a pedigree that includes Etsy and DataCamp, about career-building strategies. Emily\u2019s got a lot to say about the topic, particularly since she just finished authoring a book entitled \u201cBuild a Career in Data Science\u201d with her co-author Jacqueline Nolis. The book explores a lot of great, practical strategies for moving data science careers forward, many of which we discussed during our conversation.