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Ep#23: Camelia H - Collaborating with Data Scientists & Mastering Experimentation as a Product Manager
In this episode of LitPM, we’re thrilled to welcome our first-ever data scientist—Camelia, Head of Data Science at Black Crow AI. With a background that includes stints at Codecademy and Uber, Camelia shares her journey from mechanical engineering to data science, and how she partners with product managers to drive results.
We dive deep into her experience with experimentation, A/B testing, and the evolving role of AI in e-commerce.
Plus, Camelia gives us insider tips on what data scientists look for when interviewing PMs.
If you’re a PM (or aspiring to be one) looking to master collaboration with data scientists and understand the world of experimentation, this episode is packed with valuable insights!
Time Stamps
(1:52) Background and intro
(6:52) Transitioning to Data Science from Mechanical Engineering
(9:58) Experience working with PMs
(14:00) Technical data skills required for PMs
(19:36) Experimentation: how to set it up, when to experiment
(30:38) Impact of AI for data scientists
(34:56) What Data Scientists look when interviewing PMs
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By Richie W
5
1010 ratings
In this episode of LitPM, we’re thrilled to welcome our first-ever data scientist—Camelia, Head of Data Science at Black Crow AI. With a background that includes stints at Codecademy and Uber, Camelia shares her journey from mechanical engineering to data science, and how she partners with product managers to drive results.
We dive deep into her experience with experimentation, A/B testing, and the evolving role of AI in e-commerce.
Plus, Camelia gives us insider tips on what data scientists look for when interviewing PMs.
If you’re a PM (or aspiring to be one) looking to master collaboration with data scientists and understand the world of experimentation, this episode is packed with valuable insights!
Time Stamps
(1:52) Background and intro
(6:52) Transitioning to Data Science from Mechanical Engineering
(9:58) Experience working with PMs
(14:00) Technical data skills required for PMs
(19:36) Experimentation: how to set it up, when to experiment
(30:38) Impact of AI for data scientists
(34:56) What Data Scientists look when interviewing PMs