Introducing the DataFramed Careers Series

Over the past year hosting the DataFramed podcast, I’ve had the incredible privilege of having biweekly conversations with data leaders at the forefront of the data revolution. This has led to fascinating conversations on the future of the modern data stack, the future of data skills, and how to build organizational data literacy. 

However, as the DataFramed podcast grows, we want to be able to provide the data science community across the spectrum from practitioners to leaders, with distilled insights that will help them maneuver their careers effectively. And we want to do that more often. 

This is why we’re excited to announce the launch of a four-day DataFramed Careers Series. In this series, we interview thought leaders and experts about what it takes to break into data science in 2022, and best practices to stand out from the crowd. Moreover, this episode series will mark DataFramed’s transition from a biweekly to a weekly podcast. 

Starting Monday the 30th of May, DataFramed will become a weekly podcast. 

What to Expect in the Four-Episode DataFramed Careers Series?

Throughout the series, we’ll be covering the ins and outs of building a career in data, and the different aspects of standing out from the crowd in the job hunt. Here are the episodes you can expect:

• [DataFramed Careers Series #1] Sadie St Lawrence, CEO of Women in Data on what it takes to launch a data career in 2022 — To be released on May 30, 2022
• [DataFramed Careers Series #2] Nick Singh, co-author of Ace the Data Science Interview on what makes a great data science portfolio project — To be released on May 31st, 2022
• [DataFramed Careers Series #3] Khuyen Tran, Developer Advocate at Prefect on how writing can accelerate a data career — To be released on June 1st, 2022
• [DataFramed Careers Series #4] Jay Feng, CEO of Interview Query on acing the data science interview — To be released on June 2nd, 2022

Where and when can you listen?

Make sure you catch the episodes when they start dropping on May 30th, by subscribing to DataFramed wherever you get your podcasts. In the meantime, let us know what you think by listening to our most recent episodes.

Subscribe to DataFramed here