BROADCASTS.com

b'

One of the themes that I\\u2019ve seen come up increasingly in the past few months is the critical importance of product thinking in data science. As new and aspiring data scientists deepen their technical skill sets and invest countless hours doing practice problems on leetcode, product thinking has emerged as a pretty serious blind spot for many applicants. That blind spot has become increasingly critical as new tools have emerged that abstract away a lot of what used to be the day-to-day gruntwork of data science, allowing data scientists more time to develop subject matter expertise and focus on the business value side of the product equation.

If there\\u2019s one company that\\u2019s made a name for itself for leading the way on product-centric thinking in data science, it\\u2019s Shopify. And if there\\u2019s one person at Shopify who\\u2019s spent the most time thinking about product-centered data science, it\\u2019s Shopify\\u2019s Head of Data Science and Engineering, Solmaz Shahalizadeh. Solmaz has had an impressive career arc, which included joining Shopify in its pre-IPO days, back in 2013, and seeing the Shopify data science team grow from a handful of people to a pivotal organization-wide effort that tens of thousands of merchants rely on to earn a living today.