For Data Scientists by Data Scientists

The message I get most often on LinkedIn is “how do I get to be a great data scientist?” And at the end of my time as U.S. Chief Data Scientist, I posted on LinkedIn what questions you had for me and most were about the training for data scientists.

In response, LinkedIn worked with me to develop a course to answer all those questions that were posted and give insights about how I think about data science. The best part? It’s free for the community – LinkedIn agreed to put it outside the paywall to support the broader data science community.

We’re now back with a new series, but with a twist. 

This time I’m interviewing data scientists and technologists who I’ve learned from and inspired me to the work that I do. I want you to hear directly from them what makes a great data scientist. 

We’re releasing a new episode each month and in Season 1 you’ll get to meet

• Roger Magoulas – coined the term big data, started the first major convening of data scientists, and was doing data science long before it was cool.
• Ben Lorica – brought together the first communities of data scientists, one of the first to recognize that a major shift in AI was about to take place, and an advisor to some of the most notable data companies like Databricks.
• danah boyd – one of the early pioneers in data science, well known author,  founding board member of Crisis Text Line, and founded Data & Society.
• Monica Rogati – famous for her work on building LinkedIn’s core recommendation technology, seminal for her part in naming the field, and led the first major data science team at a wearable technology company.
• Todd Park – former U.S. Chief Technology Officer where he led the healthcare.gov rescue and helped start the U.S. Digital Service, co-founder of AthenaHealth, Castlight, and Devoted Health.
• Jonathan Goldman – founding board member of Khan Academy, invented the People You May Know product at LinkedIn, and helped kick off the data wave at LinkedIn.

Our goal is to create a repository of original stories and advice from leaders in data science/AI that is free and open to everyone. And to help current and future data scientists think about their career and work. This content is free, courtesy of LinkedIn, and I won’t be receiving any compensation. 

I hope you’ll take a chance and listen to the inspiring stories from these incredible data scientists! Let me know what you think and who else you'd like to hear from!