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
Embrace differences and disagreement to get shit done and move forward
Work digital-first for your daily work

About The Role

About the opportunity

Shopify is seeking a Senior Staff Data Scientist to work on extensive, data-intensive, and performance-sensitive graph systems. This is an opportunity to lead and architect critical system intended to power new use cases and be part of cutting edge innovation at Shopify.

This crucial role involves enhancing system scalability, reliability, and accuracy, and requires close collaboration across Machine Learning, Data Science, and Engineering teams to deliver advanced solutions.

To be a good fit, you should have the following:

Technical Requirements

Expertise in graph analysis and/or graph machine learning algorithms.
Experience in designing and managing large-scale data systems capable of handling millions of requests per second and managing datasets larger than 100 billion items.
Experience in software performance optimization.
Proficient in probabilistic algorithms and data structures.
Experience with ads targeting, recommendation systems, personalization, as well as experiment design and sampling on graphs.
Understanding of privacy and data protection laws and regulations.

Experience and Leadership Qualities:

Proven ability to manage complex technical projects successfully.
Excellent communication skills for effective collaboration and engagement with various stakeholders.
Capability to navigate through ambiguous technical challenges and provide clear direction.
Experience in growing technical teams and mentoring engineers, contributing to their professional development and success.