The Data Standard

Coping with a remote work environment with Dan McKinley
Dan McKinley, Senior Director of Data Science & Analytics at Mozilla, sits down with TDS to talk about working remotely.

Episode Summary

In this episode of The Data Standard, host Darren Kaplan talks about working remotely with DanMcKinley, Senior Director, Data Science & Analytics at Mozilla. With an ongoing pandemic, we can see remote work becoming a paradigm across industries, data science included. Even the companies that didn’t support it now have a fully-fledged remote work operation with infrastructure and policies to support and facilitate it. At the same time, not all workers cope with the current situation in the same way. Some find it more stressful, while others seem to thrive in the new remote work environment. Other viable ideas to cope with the pandemic and the restrictions include diving deeper into the work or finding a new hobby. On the other hand, this situation isn’t going to last forever. What’s going to happen when people need to go back to the office? Is it going to be a hybrid setup? Is working remotely going to be an option? How will the policies change? Will the remote-first become a new standard? Tune in with Darren Kaplan and Dan McKinley to hear their take on working remotely and find out their personal experience with the lockdown and remote work.

Meet The Host

Darren Kaplan

Co-Founder & Board Member of HiQ Labs

Darren Kaplan is 2x Founder and recognized as one of the Top 20 Data Science Influencers in 2020. Darren is the co-creator of The Data Standard, the premier networking user-community for data-science, data engineers, and cybersecurity enthusiasts.

Meet The Guest

Dan McKinley

Senior Director, Data Science & Analytics at Mozilla

Dan McKinley is an engineer, and he was always interested in working on projects that are meaningful. He started his career in Capital IQ, where he improved his coding skills. Over the years, his focus shifted towards data. He worked on BI, data warehousing, and building the big data UFO. Today he is leading data engineering and data science for Mozilla.