Staff Product Data Scientists - Multiple Roles

Are you ready to decode commerce through the power of data? As a Staff Data Scientist at Shopify, you'll work with one of the world's richest commerce datasets - millions of merchants generating billions of transactions across the entire buying journey. You'll deeply understand our products, tell their stories, and figure out how to make them 10x better. This is data science at unprecedented scale. Every analysis you run, every model you build directly impacts how millions of entrepreneurs grow their businesses and how billions of people shop worldwide. You'll own big problems and collaborate with cross-functional partners to build data-informed solutions that transform commerce from first click to final delivery. As the architect of insights that guide our product journey, you'll determine what we build and how we build it - all while moving at the velocity that makes Shopify legendary. We're hiring across multiple levels and teams, each offering unique challenges and opportunities: Checkout, Search, Shop, Merchant Services, Infrastructure Data, Revenue Data, Executive Insights, and more. Every team applies different methodologies to solve distinct problems - from real-time ML to causal inference - ensuring you'll grow your skills while shaping how commerce works globally. Key Responsibilities Unearth insights through advanced analytics and data exploration across billions of transactions to inform product strategy and development Partner with product managers and engineers to translate complex datasets into actionable strategies Apply statistical models, regression analysis, segmentation techniques, and experimental methods to optimize product performance at massive scale Build powerful data products that improve the experience of millions of merchants worldwide - from product discovery through post-purchase Influence decision-making by providing clear, data-backed recommendations that shape how commerce evolves Lead high-impact projects through complex, ambiguous problems while mentoring others Continuously innovate by leveraging cutting-edge analytics techniques, including AI/ML tools where applicable Qualifications Strong mastery of SQL Proficiency in programming languages such as Python, and experience with data visualization tools Proven experience in statistical analysis, data modelling, and machine learning at scale Skilled in translating complex data into actionable insights that drive business outcomes Ability to own and solve complex product and business problems with data in ambiguous, fast-moving environments Demonstrated ability to thrive working at startup speed with enterprise impact Track record of shipping data products that create value Ready to transform data into groundbreaking commerce solutions? Join the team that's making commerce better for everyone.