Josh Wills, the real-life data science superhero — decarbonizer of the transport system, full-time modeler of the Covid pandemic, and force of nature at fast-growing tech firms — is my extraordinary guest today.

Josh has done a startling amount in his career:
• Worked to decarbonize transport as a software engineer at WeaveGrid.
• Modeled Covid-19 full-time for the Government of California in early 2020 as the pandemic was first kicking off.
• Was the first Director of Data Engineering at Slack.
• Was Director of Data Science at Cloudera.
• Was Staff Software Engineer at Google.
• Co-authored several editions of O'Reilly Media books on advanced analytics.
• Has given countless thought-provoking (and very funny!) talks at major data science conferences.
• And now describes himself as a “gainfully unemployed data person” as he contributes to open-source software projects and develops his “Data Engineering for Machine Learning” course.

Today’s episode will appeal most to technical listeners that are keen to be outstanding data scientists or software engineers, particularly through engineering scalable ML products.

However, much of the content in the episode will appeal to anyone who’d like to hear from a brilliant, thoughtful, and seasoned professional who goes into depth on:
• The orders-of-magnitude more efficient “contextual bandit” approach to testing models in production.
• How to avoid the “infinite loop of sadness” in data product development.
• The pros and cons of choosing a management-track career path relative to an independent contributor path.
• What it’s like to be called on as a life-saving data-science superhero during a catastrophic global event.

The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.