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Hybrid Product Data Scientists Product Data Scientists with verification

Shopify · Canada · Hybrid

About the job

About ShopifyOpportunity is not evenly distributed. Shopify puts independence within reach for anyone with a dream to start a business. We propel entrepreneurs and enterprises to scale the heights of their potential. Since 2006, we’ve grown to over 8,300 employees and generated over $1 trillion in sales for millions of merchants in 175 countries.This is life-defining work that directly impacts people’s lives as much as it transforms your own. This is putting the power of the few in the hands of the many, is a future with more voices rather than fewer, and is creating more choices instead of an elite option.About YouMoving at our pace brings a lot of change, complexity, and ambiguity—and a little bit of chaos. Shopifolk thrive on that and are comfortable being uncomfortable. That means Shopify is not the right place for everyone.Before you apply, consider if you can:

  • Care deeply about what you do and about making commerce better for everyone
  • Excel by seeking professional and personal hypergrowth
  • Keep up with an unrelenting pace (the week, not the quarter)
  • Be resilient and resourceful in face of ambiguity and thrive on (rather than endure) change
  • Bring critical thought and opinion
  • Embrace differences and disagreement to get shit done and move forward
  • Work digital-first for your daily work
About The RoleProduct data scientists at Shopify tell the story of the building blocks of commerce. They guide product development and improvement by partnering across disciplines and influencing a culture of data-informed [not data-driven] decision making. Our data scientists uncover the insights that inform how Shopify decides on what products to build and how to build them.Why you’ll love working at Shopify
  • Seek objective truth. Our goal is to search for the objective truth through analysis so we can challenge assumptions and judgements.
  • Help with the big decisions Apply analytical, statistical, and technical skills to drive insights that inform business actions and product decisions.
  • Leverage advanced analytics tools. Use cutting-edge techniques like regression, segmentation, and experimentation.
Ready to turn data into product discovery? Join the team that's making commerce better for everyone.