Staff Data Scientist

**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 campus is in Sydney. We also have a campus in Melbourne and co-working spaces in Brisbane, Perth and Adelaide. But you have choice in where and how you work. That means if you want to do your thing in the office (if you're near one), at home or a bit of both, it's up to you.**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.**About the role
- At Canva, our mission is to empower the world to design, and we’re looking for insightful data analysts who can help us achieve our mission.- We're looking for self-motivated individuals who are curious about our product and our users, and who are excited to seek out valuable insights. We don’t want you to just be a resource that answers questions - we want you to act as a genuine data partner with your team and the broader business. We have a LOT of data and need people who can use their skills to help us make the most of it**About the team
- Our Growth Supergroup exists to drive Canva’s user & revenue growth through product-led growth strategies that demonstrate the full value of Canva’s products to our users.- We are responsible for the overall revenue growth from our business customers, by driving adoption of our subscription products: Canva Pro & Enterprise.- Growing our adoption and expansion in teams & businesses of all sizes is a core company strategy for Canva. Our group is doubling down on our premium teams products and new product initiatives for businesses, as well as building up a high-performing cross-functional GTM organisation consisting of Product, Growth, Marketing, Sales, Data & more, to supercharge our growth.- With all this hypergrowth comes a growing list of fraud vectors we need to face, and we’re looking to further mature our capabilities at a fast pace in regards to fraud prevention, monitoring, alerting, response automation, and fraud modelling for our global customer base.- Acting as a SME, you’ll help us on the implementation of new fraud prevention strategies and risk analysis tools, while also delivering sustainable automated solutions and controls.**Role Responsibilities**:

- This role will rely on your particular strengths and experience in building out data-driven decisions, communicating closely with stakeholders, and maintaining a highly **proactive** attitude. Specific examples of responsibilities are outlined below:

- Identify key fraud risk gaps and concerns
- Partner with engineers and product managers to analyse payment gateway data and payment information in order to build out timely alert systems and monitoring dashboards
- Partner with Machine Learning engineers to build out fraud detection models and advise stakeholders on how to implement these models for different fraud vectors
- Suggest and run interesting experiments that will actually move our metrics - when we push tests to 100% we want to actually see the bump in the relevant graph
- Build and maintain dashboards and make them impactful and intuitive
- Work toward minimising fraud exposure and losses across all business functions utilising effective prevention and detection strategies.
- Use our giant databases to answer the sort of questions that sound really simple but turn out to be challenging (and fun)

**Required Skills & Experience**:

- Strong competency with SQL; experience with data warehouses such as Snowflake, Redshift, or BigQuery is a plus
- Strong communication skills - verbal and written - be able to break down complex topics into simple solutions and ideas. Stakeholder management skills are vital in this role.
- 10+ years of experience building out fraud models, working with payment and user data, and coordinating fraud prevention strategies
- Experience implementing effective fraud management functions, tools and processes, designed to reduce net fraud losses.

**Preferred (but not required) Skills & Experience**:

- Experience wrangling and analysing data using Python or R
- Experience working with subscription-based data sets. It would be desirable to have experience with collaborative products as well
- #LI-JC1**What's in it for you?
- Achieving our crazy big goals motivates us to work hard - and we do - but you'll 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.- Here's a taste of what's on offer:
- Equity packages - we want our success to be yours too
- Inclusive par