Hybrid Product Data Science Managers Product Data Science Managers with verification

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 Science Managers go big on details that drive product decisions. This is not a supporting role for the product. They know the minutiae really matters and turn 1st-party and 3rd-party data into insights that directly influences product development. But not alone. Leading a team of product data scientists is about balancing deep craft work to unearth problems and propose fast-paced solutions.Why you’ll love working at Shopify:

• Lead an elite team. Guide, support, and challenge talented data scientists with deep craft knowledge and pace.
• Own data quality. Take stewardship of data to heart as you seek reliability, accuracy, and reliability.
• Be in the numbers. Build data pipelines and use your extreme numerical fluency and statistical methods to run tests in the real world.

Ready to steward the charge? Join the team that's making commerce better for everyone.