Senior Data Scientist Security

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 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 youre near one) at home or a bit of both its up to you.

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.

Youll be a senior data scientist in an embedded analytics team within Canvas Security group. We solve hard data problems across security: building analytical models maintaining backend services and giving leadership the numbers they need to make decisions.

Your work will span three areas:

1. Security metrics that drive decisions

Youll own the metrics that tell Security leadership how were actually doing. That means building and maintaining scorecards and KPIs across areas like vulnerability management identity & access and compliance. Youll design data models build dashboards define OKRs with security leads and translate what the data says into clear recommendations. The goal isnt just reporting its influencing where the team invests next.

2. Evaluations and quality for AI-powered services

Were building AI-powered services to solve security problems at scale. Youll own the evaluation framework curating ground truth datasets designing quality metrics building human feedback loops and iterating on classification approaches. Youll need to think like both a data scientist and a product owner here.

3. Analytical solutions for real-time security problems

Security at Canvas scale generates problems that traditional data warehousing cant solve alone. Think streaming analytics over petabytes of logs high-concurrency queries for near-real-time threat detection and monitoring access patterns across multiple cloud environments. Youll partner with security engineers and privacy teams to scope these problems evaluate the right architectures and build the analytical foundations to solve them.

Day to day youll be:

• Analysing security datasets to find patterns measure risk and surface insights that change how teams prioritise

• Designing experiments building statistical models and stress-testing assumptions

• Writing SQL Python and data models to turn raw security data into something stakeholders can act on

• Presenting findings to security leads engineering leaders and senior stakeholders

• Collaborating across security privacy compliance and data platform teams

• Mentoring peer Data Scientists running knowledge-sharing sessions and contributing reusable patterns and frameworks that raise the bar beyond your immediate team.

Youre probably a match if

Youve got a track record of turning data into decisions not just delivering dashboards but actually changing what a team does next. Ideally youve done this in a security or risk context but strong analytical experience in other domains works too.

Youll need:

• Strong SQL and Python skills and real experience with modern data stack tools like dbt and cloud data warehouses (not just familiar with youve built and maintained production models)

• The ability to own a problem end-to-end: scoping what to measure building the data models validating the output and communicating what it means to people who arent technical

• Experience designing evaluation frameworks or quality metrics for ML/AI systems things like ground truth curation precision/recall analysis and feedback loops

• Clear concise communication skills youll be writing docs presenting to leadership and explaining complex findings in plain language

• Comfort working independently in a small team as a senior individual contributor youll need to self-direct and proactively flag what matters

Itd be great if you also have:

• Experience in the security domain data classification access control vulnerability management compliance frameworks or threat detection

• Familiarity with LLMs in applied settings (prompt engineering RAG evaluation methodology)

• Experience with dimensional modelling semantic layers or building self-serve analytics infrastructure

• Exposure to streaming or real-time analytics architectures

• A background in maths/statistics and a degree in a STEM area

• Naturally share what youve learned whether thats mentoring teammates presenting at guild or specialty forums or writing documentation that helps others level up.

• Experience at a tech company and familiarity with how modern data teams operate

About the team

At Canva our mission is to empower the world to design and were looking for insightful data scientists who can help us make that happen.

Our product has grown enormously in the last few years. We now have 100s of millions of users generating enormous quantities of data every single day. To help us fuel our future growth we need to better understand our data - this is where we need your help.

Were looking for self-motivated individuals who are curious about our product and our users and who are excited to seek out valuable insights. We dont 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!

The Security Insights team is an agile team with a critical mission: scaling our data analytics capabilities to enhance our security posture. One of our key focuses is to measure monitor and work to reduce risks associated with permission and access to customer data. Your insights will inspire teams throughout Canva helping us improve procedures and adopt the best tools to safeguard customer data.

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