Staff Product Data Scientist - Developer Productivity (Americas)

About the role

As a Staff Data Scientist at Shopify working on developer productivity, you'll lead the data science strategy for this space as a player/coach: leading a small team of data scientists, going deep on ambiguous problems yourself, and applying different methodologies to solve distinct challenges—from metric design and instrumentation to causal inference, cost attribution, experimentation, and executive storytelling. Developer Productivity experience is a plus, but not a requirement; we're looking for someone who has created clarity in complex systems and is excited to go deep on how engineering work happens.

You will work with rich signals from the systems that power Shopify’s engineering organizations—analyzing AI-assisted development, CI/CD, local developer environments, testing, deployment workflows, and the infrastructure that helps builders turn ideas into merchant impact. You'll deeply understand how engineers build at Shopify, tell the story of what helps or slows them down, and figure out how to make measurable, compounding improvements. This is data science at the center of how Shopify builds. Every analysis you run, every measurement framework you shape, and every data product you build can influence how engineers spend their time and how quickly Shopify learns, ships, and improves commerce for merchants.

You'll answer complex questions and collaborate with cross-functional partners to build data-informed solutions that improve developer velocity from local development to production. Through insights that guide our Developer Productivity investments, you'll help determine what we build, what we scale, and where we invest next.

Responsibilities

• Develop insights through advanced analytics and data exploration across developer workflows, infrastructure systems, AI-assisted development, CI/CD, testing, and deployment to inform engineering strategy and investment decisions
• Lead a small team of data scientists working on building data products and measurement frameworks that improve how Shopify understands developer velocity, engineering quality, infrastructure cost, reliability, and developer experience
• Partner with engineering leaders, product managers, data scientists, and finance partners to translate complex technical systems into clear priorities and measurable decisions
• Apply statistical models, causal inference, segmentation techniques, experimental methods, and rigorous metric design to understand what accelerates development and what creates friction
• Influence decision-making by providing clear, data-backed recommendations that shape where Shopify invests in AI, developer tooling, and infrastructure
• Lead high-impact projects through complex, ambiguous problems while coaching and mentoring other data scientists
• Apply rigorous analytics techniques, including AI/ML tools where applicable

Qualifications

• Fluency in SQL
• Proficiency in programming languages such as Python, and experience with data visualization tools
• Experience in statistical analysis, data modelling, experimentation, causal inference, or machine learning at scale
• Experience translating complex data into clear insights that inform business, product, and engineering decisions
• Lead efforts to solve complex product, technical, and business problems with data in ambiguous, fast-moving environments
• Comfort working quickly and iteratively in ambiguous, high-impact environments
• Experience leading, coaching, or mentoring data scientists through broad, ambiguous work

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.

About You

• 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.