About the job
As a Staff Data Scientist in the Growth Supergroup, you will play a pivotal role in shaping how Canva measures, optimizes, and accelerates progress toward foundational goals. Your insights will directly influence strategic decisions and drive experimentation across the organization. The team values collaboration and empowers its members to choose how and where they work, fostering a supportive environment that encourages growth and innovation.
You'll be responsible for
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Designing and building causal models
Design and build causal models that quantify the relationships between input metrics and component metrics to Canva's foundational goals, establishing which hypothesized links hold up and how strong they are.🔗
Partnering with data science teams
Partner with embedded data science and analytics teams to design experiments and analytical approaches that test causal hypotheses, adapting methodology to various contexts across Canva.📈
Acting as analytical lead for Monthly Business Reviews
Act as the analytical lead for Monthly Business Reviews in partnership with FGP Ops, ensuring the MBR surfaces the right signals to leadership.Key criteria
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Causal inference expertise
Deep understanding of econometric methods in applied settingsView
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Experimental design skills
Proven ability to create credible alternatives to A/B testsView
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Proficiency in SQL and Python
Experience building production-quality analytical code dailyView
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