Data Scientist Personalisation
Job Summary
Join the team redefining how the world experiences design.
Hey gday mabuhay kia ora 你好 hallo vítejte!
Thanks for stopping by. We know job hunting can be a little time consuming and youre probably keen to find out whats on offer so well 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. Its a thoughtfully designed space with plenty of room to collaborate focus and connect.
This role is based in Sydney and were 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 youd be doing in this role
As Canva scales change continues to be part of our DNA. But we like to think thats all part of the fun. So this will give you the flavour of the type of things youll be working on when you start but this will likely evolve.
At the moment this role is focused on
Design and analyse A/B and multivariate experiments to measure the impact of personalisation features ensuring statistical rigour and clear interpretation of results
Build and maintain dashboards that give product and engineering partners clear visibility into how personalisation programs are performing and keep them updated as the product evolves
Conduct exploratory data analysis to uncover user behaviour patterns and surface actionable insights for product and design partners
Partner with ML engineers to take models from prototype to production contributing to feature engineering evaluation frameworks and monitoring
Work with analytics engineers to identify the data you need and make sure its modelled correctly for your use cases
Translate complex analytical findings into clear concise recommendations that non-technical stakeholders can act on
Keep up with relevant literature and emerging techniques bringing new approaches to the team where they genuinely add value
Maintain data quality across your domain - monitoring key metrics investigating incidents validating pipeline outputs and keeping documentation up to date
Youre probably a match if
You have a solid grounding in applied statistics - youre comfortable with experimental design regression classification and the tradeoffs involved in model selection.
You understand the difference between correlation and causation and you care about getting that distinction right.
You write clean well-structured Python (and/or R) and youre confident working with large datasets using SQL. Experience with Snowflake is a strong plus.
You are comfortable using AI tools in your workflows.
Youre someone who communicates clearly: you can explain what your model does what its limitations are and what a stakeholder should actually do with the result.
Youre comfortable gathering requirements from product engineering and business stakeholders and translating ambiguous questions into well-scoped data science work.
Youre curious and self-motivated - you dont wait to be handed a question you go looking for the insight.
Youre also comfortable working in a collaborative feedback-rich environment and you see code reviews and analytical critiques as tools for getting better not obstacles to shipping.
About the team
Personalisation sits across Canvas Growth and Discovery Supergroups and our goal is to make Canva feel like it was built just for you. We partner closely with product data science and engineering to translate user signals into smarter more relevant onsite experiences. Our work directly influences how millions of people first encounter Canva and how they continue to find value over time.
As a Data Scientist in Personalisation youll work on the models and analyses that help us understand our users and serve them better. Youll collaborate closely with product managers analytics engineers and ML engineers to design experiments build predictive models and translate data into clear recommendations. A core part of this role is supporting our personalisation and messaging programs by owning the experimentation reporting impact analysis and data insights that guide how we improve these initiatives over time. This is a role for someone whos building their craft youll have strong foundations in statistics and reporting and youll be working in an environment that takes data science seriously and invests in helping you grow. Your work will directly shape which personalisation ideas we pursue how we measure them and what we ship to users.
Whats in it for you
Achieving our crazy big goals motivates us to work hard - and we do - but youll experience lots of moments of magic connectivity and fun woven throughout life at Canva too. We also offer a stack of benefits to set you up for every success in and outside of work.
Heres a taste of whats on offer:
Equity packages - we want our success to be yours too
Inclusive parental leave policy that supports all parents & carers
An annual Vibe & Thrive allowance to support your wellbeing social connection office setup & more
Flexible leave options that empower you to be a force for good take time to recharge and supports you personally
Check out for more info.
Other stuff to know
We make hiring decisions based on your experience skills and passion as well as how you can enhance Canva and our culture. When you apply please tell us the pronouns you use and any reasonable adjustments you may need during the interview process.
We celebrate all types of skills and backgrounds at Canva so even if you dont feel like your skills quite match whats listed above - we still want to hear from you!
Please note that interviews are conducted virtually.
Remote Work :
No
Employment Type :
Full-time
About Company
We're a global online visual communications platform on a mission to empower the world to design. Featuring a simple drag-and-drop user interface and a vast range of templates ranging from presentations, documents, websites, social media graphics, posters, apparel to videos, plus a hu ... View more