トレンド企業

Canva
Canva

Empowering the world to design.

Senior Data Scientist - Security

職種データサイエンス
経験シニア級
勤務地Melbourne
勤務オンサイト
雇用正社員
掲載1週間前
応募する

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.

You'll be a senior data scientist in an embedded analytics team within Canva's 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

You'll own the metrics that tell Security leadership how we're actually doing. That means building and maintaining scorecards and KPIs across areas like vulnerability management, identity & access, and compliance. You'll design data models, build dashboards, define OKRs with security leads, and translate what the data says into clear recommendations. The goal isn't just reporting — it's influencing where the team invests next.

2. Evaluations and quality for AI-powered services

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

3. Analytical solutions for real-time security problems

Security at Canva's scale generates problems that traditional data warehousing can't 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. You'll 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, you'll 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.

You're probably a match if

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

You'll need:

  • Strong SQL and Python skills, and real experience with modern data stack tools like dbt and cloud data warehouses (not just "familiar with" — you've 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 aren't 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 — you'll 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 — you'll need to self-direct and proactively flag what matters

It'd 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 you've learned — whether that's 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 we’re 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.

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!

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.

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 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 lifeatcanva.com 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 don’t feel like your skills quite match what’s listed above - we still want to hear from you!

Please note that interviews are conducted virtually.

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Canvaについて

Canva

Canva

Series D

An online design and visual communication platform that provides design tools for non-designers.

1,001-5,000

従業員数

Sydney

本社所在地

$40B

企業価値

レビュー

10件のレビュー

4.2

10件のレビュー

ワークライフバランス

3.8

報酬

2.5

企業文化

4.3

キャリア

4.0

経営陣

4.2

78%

知人への推奨率

良い点

Flexible schedules and hours

Supportive team and leadership

Growth and learning opportunities

改善点

Fast-paced and demanding workload

Can be overwhelming or stressful

Occasional long hours

給与レンジ

31件のデータ

Junior/L3

L2

L6

M3

M4

M5

M6

Mid/L4

Senior/L5

Staff/L6

L3

L4

L5

Junior/L3 · Data Scientist B1

0件のレポート

$111,685

年収総額

基本給

-

ストック

-

ボーナス

-

$94,933

$128,437

面接レビュー

レビュー2件

難易度

3.0

/ 5

期間

14-28週間

体験

ポジティブ 0%

普通 50%

ネガティブ 50%

面接プロセス

1

Application Review

2

Online Assessment/Portfolio Review

3

Recruiter Screen

4

Hiring Manager Interview

5

Team Interview

6

Offer

よくある質問

Technical Knowledge

Portfolio/Design Questions

Behavioral/STAR

Culture Fit

Past Experience