How to Answer the Data Science Questions of the Product Manager Interview
Mar 23
This is an exclusive workshop, where you will get to sit in on one of our actual classes with our Product Gym cohort 8 students. There will be no more than 10 seats being offered.
In this class we'll cover the data science domain and what it is like working as a Product Manager with data scientists. The class will be taught by a working ML and data scientist professional, Michael Rabadi. He'll cover the following topics and takeaways, along with how to best prepare for the Data Science questions in the PM interview.
Main Takeaways:
The Machine Learning Landscape
How to Build a Machine Learning Product
Launching a New Machine Learning Product
Exercise: Proposing and Building an ML Product
Additional Tips for Data Science PMs
Bonus Session for First 3 RSVP's
Private 1-on-1 Product Management Career Consultation with Resume and LinkedIn Review
Meet the Speaker:
Vice President of Machine Learning and Data Science at Jefferies
Michael is currently the Vice President of Machine Learning and Data Science at Jefferies. In addition to his current position, Michael is also the President of Just Another Brain LLC, where he co-founded multiple starts, built technical infrastructures, and co-ran businesses. Michael has also worked as a Machine Learning Engineer and Researcher for Spotify.
Michael has a Bachelor’s of Neuroscience and Business and Doctor of Philosophy (Ph.D.) of Neuroscience and Machine Learning from New York University.
Disclaimer: This class is part of a 12-class cohort cycle with Product Gym, a Product Management Career Accelerator. Guest attendee tickets advertised in this Eventbrite are limited to two total classes per individual. If you are interested in attending more than two total Product Gym classes, please schedule a call with us at https://productgym.io/schedule-a-call/.
This event space is proudly sponsored by Workville NYC.
