Evaluate Yourself As a Data Scientist

Last Updated on August 15, 2020

What skills do you need to be a data scientist?

I read an interesting data-driven approach to answering this question in the book Doing Data Science: Straight Talk from the Frontline.

In this post I summarize this self-assessment approach that you can use to evaluate your strengths as a data scientist and where you might fit into an amazing data science team.

You can use applied machine learning practitioner as a synonym for data scientist if you like.

Data Science Unicorns

Reviewing jobs for data scientists, the authors of Doing Data Science see that employers are looking for unicorns.

Job ads seek employees that do not exist with strengths in computer science, statistics, communication, data visualization, and domain expertise.

This is not surprising given how the term “data scientist” is ill defined, employers don’t even know what they need or even what problems they need solved.

Skill Histogram

Cleverly, the authors make a list of common required skills of data scientists from job ads.

They use this list and suggest that you rank yourself on a relative scale (0-100) against each skill.

Finally they suggest that you present the results as
To finish reading, please visit source site