Senior Product Data Scientists - Multiple Roles

Are you ready to decode commerce through the power of data? As a Senior 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

Continuously innovate by leveraging cutting-edge analytics techniques, including AI/ML tools where applicable, 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. Shopifyhttps://www.shopify.com We hire people, not resumes. If you think you’re right for the role, apply now., As a Data Scientist, how would you describe your approach to mentorship?* I’m still learning the ropes, so I tend to focus more on absorbing knowledge myself. I’m comfortable with my skills, but I still rely on more experienced engineers for complex problems. I mentor others and promote a culture of learning and growth within the organization. I mentor others, and play a role in increasing the technical competencies of my craft at the org level. As a Data Scientist, how would you describe your experience on projects?* I haven’t led a project yet, but I’ve contributed to the tasks assigned to me and learned from the process. I’ve led a small project or a part of a larger project from start to finish. I’ve led multiple projects across teams and stakeholders, and was accountable for the project’s success. I’ve led high-stakes projects spanning multiple stakeholders, disciplines, and technical complexities. Which of the following best describes your most recent role in a product decision?* I’ve executed tasks that were defined for me within a well defined scope. I executed tasks on complex projects where the results influenced product direction in the short term I led the delivery of work on a complex project, that impacted the overall product road map. I led the delivery of complex projects, spanning multiple stakeholders, with long-term product impact. Tell us about an interesting metric you defined and presented in a professional capacity, and the impact of that work.* Tell us about a difficult stakeholder situation at work, and how you managed it.* Share a technical problem you solved at work, the tools you used to solve it, and the outcome of that.* What excites you most about joining Shopify and this role? Please confirm you’ve read our applicant privacy notice*

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., 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., What is your level of experience using SQL for data manipulation?* I have no experience working with SQL and am unfamiliar with applying basic SQL transformations. I use basic SQL transformation (joins, filters, aggregations) to solve straightforward business questions. I have an understanding of data-warehouses, and use SQL to manipulate dimension and facts tables to solve business questions. I have an understanding of data-warehouses, and I use advanced SQL techniques (window statements, complex joins, arrays) to solve complex business questions. What is your level of experience with Python and general programming principles?* I have no experience with Python or general programming principles I have some experience with Python and can write code to solve simple problems. I have an understanding of programming principles (if statements, loops, basic data structures, functions) and am able leverage libraries to solve problems in a scripting/notebooks setting. I have an understanding of programming paradigms (such as object orientation) and apply software engineering best practices to solve complex problems. How many years of hands-on Data Science experience do you have? This does not include academic experience or internships* 0-4 years 5-7 years 8-10 years

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.