Senior Data Scientist - Design Experience Growth

About the role

The Design Experience Growth team sits within Canva's Design Experience Supergroup - the group responsible for Canva's core visual suite, including documents, presentations, and whiteboards. Our mission is to help more users discover, activate, and get lasting value from the products they use day-to-day. We work across the full growth lifecycle - from the moment a user first encounters a feature, through to the habits

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Additional Information

Join the team redefining how the world experiences design. Hey, g'day, mabuhay, kia ora, 你好, hallo, vítejte! Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point. Where and how you can work Our flagship Sydney campus is uniquely Canva - an extension of our Surry Hills neighbourhood. It's a thoughtfully designed space with plenty of room to collaborate, focus, and connect. This role is based in Sydney, and we're looking for someone who calls it home. Our hybrid way of working gives you the flexibility to work remotely, and to come together on campus for meaningful in-person collaboration and connection when it matters most. We trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals. What you'd be doing in this role As Canva scales, change continues to be part of our DNA. But we like to think that's all part of the fun. So this will give you the flavour of the type of things you'll be working on when you start, but this will likely evolve. In this role, you'll be the embedded data science partner for the Design Experience Growth team - working across a portfolio of experiments and product initiatives that shape how millions of people discover and adopt Canva's core design features. You'll partner closely with your Product Manager, Designer, and Engineering team to make sure experiments are set up right - from ensuring event tracking is in place before launch, through to owning the end-to-end analysis once results are in. The team runs a high cadence of experiments, so you'll need to be someone who can move quickly, spot signal in noisy data, and communicate findings clearly. Beyond experiments, you'll act as a key strategic partner identifying new key product growth initiatives - including in-editor onboarding, different document type funnel optimisations, meaningful design actions for different features, etc - each with milestone-based analysis needs across multiple releases. This isn't a passive support role. You'll be expected to proactively identify what the team needs to know, flag risks early, and go deep when the situation calls for it. At the moment, this role is focused on This role will rely on your ability to think strategically about how data can unlock value from existing product features, while also rolling up your sleeves to deliver rigorous, timely analysis. Specific examples of responsibilities are outlined below: Experiment Support: Partner with product and engineering to ensure experiments are instrumented correctly before launch, then own the end-to-end analysis - from reading results to surfacing clear recommendations for what to do next. Feature Analysis: Analyse how users discover, adopt, and engage with Design Experience features - building a clear picture of where users get value and where they drop off, to inform both product iteration and growth strategy. Opportunity Identification: Proactively identify where data can reveal unmet user needs or underutilised product capabilities. Go beyond answering questions to framing the right ones. Funnel & Engagement Analysis: Analyse how users discover, adopt, and retain across core design features - identifying friction points and opportunities to improve the experience at scale. Stakeholder Partnership: Act as a trusted data partner to product managers and engineers across the Design Experience team, translating analytical findings into clear product direction. You're probably a match if You have advanced SQL competency: expert-level skills in SQL, with experience in data warehousing solutions like Snowflake, Redshift, or BigQuery. You have working knowledge of using AI: while not an expert, you understand how to use AI to move faster, gather insights more quickly and consider agentic workflows for streamlining the user experience. You have strong stakeholder management: excellent communication skills with the ability to simplify complex technical concepts and collaborate with non-technical stakeholders effectively. You have worked in a tech company before and are familiar with the way a tech company operates and some of the concepts particular to our industry (e.g. growth accounting, product funnels, designing analytic events, etc.) You have experience with R or Python, and have dealt with large datasets before. You have subscription data expertise preferably: familiarity with subscription-based business models and collaborative product data sets.

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