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

As a Product Analytics professional, you’ll be tasked with transforming raw data into actionable insights that will help guide the development and improvement of our products.

This role isn’t for the faint-hearted or those seeking a conventional corporate structure – we operate on the principles of low process, high trust, and high impact. It’s all about getting things done quickly and efficiently, while continuously learning and adapting to changes in a dynamic environment.

Our product is designed to empower entrepreneurs. That means the work you do will not only create value for our users but also contribute to global entrepreneurship.

To thrive here, you need to be dedicated to your craft and committed to constant development. You should be an independent thinker who can solve complex problems and handle a bit of chaos without breaking a sweat.

As a Senior Data Scientist, you will partner with Product, Engineering, UX, and other disciplines to lead through a data lens and achieve product/business goals.


Product Data Scientists are expected to: 

  • Proactively identify and champion projects that solve complex problems in important business areas.
  • Partner closely with Product, Engineering and other business leaders to influence product and program decisions with data
  • Holistically oversee general problems in those product/business domains and understand how those problems/domains interact with the rest of Shopify
  • Build actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products
  • Apply specialized skills and fundamental data science methods (for example: regression, survival analysis, segmentation, experimentation, and machine learning when appropriate) to inform improvements to our business
  • Design and implement end-to-end data pipelines — working closely with stakeholders, especially data engineering, to build instrumentation and define dimensional models, tables, or schemas that support business processes
  • Influence leadership to drive more data-informed decisions
  • Define and advance best practices within your data science and product teams

You might be great in this role if you have:

  • Extensive experience in:
    • Product analytics, experimentation, metrics research, and working with engineers on instrumentation and robust data pipelining
    • A data science role solving large-scale, high impact business problems
    • Using Python, including a strong grasp of object oriented programming (OOP) fundamentals
  • Masterful data storytelling and strategic thinking skills, with an ability to inspire and cultivate the Data culture within your team
  • A deep understanding of advanced SQL techniques and data modeling
  • Well versed with various Business Intelligence platforms and tools
  • Experience working with various levels of business stakeholders
  • A strong desire to focus on multiple work streams, and the ability to use ambiguity as an opportunity for high-level thinking
  • Experience creating data product strategies, building data products, and continued iteration after launch
  • Bonus: Experience launching productionized machine learning models at scale is a plus
  • Bonus: Deep domain experience in e-commerce, sales & marketing or SaaS is also a plus
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