How can data science and machine learning power the transition toward a sustainable global economy? The ML leader (and exceptional communicator of technical concepts!) Emily Pastewka is my guest today to fill us in on Green Data Science.

Emily:

• Leads the data function at Palmetto, a cleantech startup focused on home electrification.

• Prior to Palmetto, spent more than 10 years building consumer data products and solving marketplace problems as a data science and ML leader at huge fast-growing tech companies like Uber and Rent The Runway.

• Holds a Masters degree in Computer Science from Columbia University and undergraduate degrees in Economics and Environmental Policy from Duke.

Today’s episode should be accessible to technical and non-technical folks alike because whenever Emily got technical, she did an exquisite job of explaining the concepts.

In this episode, Emily details:

• How data science and A.I. can make the world greener by shifting us to clean energy.

• The team of people needed to bring cleantech data solutions to life.

• How econometrics plays a key role in nudging consumers toward greener decisions.

• Her top tips for excelling as a data leader.

• What she looks for in the scientists and engineers she hires.

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