Staff Product Data Scientists

About the role

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.

About Shopify

Opportunity 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 you

Moving 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
• Put AI agents and tools to work on the tasks they’re built for, and focus on the work only humans can do
• Embrace differences and disagreement to get shit done and move forward
• Work digital-first for your daily work

We may use AI-enabled tools to screen, select, and assess applications. All AI outputs are reviewed and validated by our recruitment team.

We hire people, not resumes. If you think you’re right for the role, apply now.