Staff Data Scientist - Marketing Research & Data, Remote Across ANZ
We're looking for a Staff Data Scientist to join our Marketing Research & Data team. If you have a passion for using data to drive business decisions, we'd love to hear from you.
Job Description
This role focuses on helping Canva measure and improve the impact of marketing through:
* Developing marketing measurement frameworks, including attribution, marketing mix modeling (MMM), and incrementality testing.
* Collaborating with leadership to translate insights into strategic decisions.
* Shaping analysis and recommendations across teams.
* Acting as a thought leader and mentor in marketing measurement, promoting data literacy and best practices.
Key Responsibilities
You'll be responsible for:
* Designing and implementing marketing measurement frameworks.
* Collaborating with cross-functional teams to drive business outcomes.
* Developing and maintaining complex data pipelines.
* Mentoring and guiding junior team members.
About The Team
The Global Marketing Research & Data team is made up of Researchers, Analytic Engineers, and Data Scientists who are dedicated to providing high-quality insights to guide decision-making.
What We Offer
We offer a range of benefits, including equity, inclusive parental leave, wellbeing allowances, flexible leave, and more. Visit lifeatcanva.com for details.
Requirements
To be successful in this role, you'll need:
* Deep knowledge of marketing measurement techniques.
* Excellent communication and storytelling skills.
* Ability to balance high-level goals with detailed execution.
* Proven ability to solve ambiguous problems and uncover opportunities.
* Experience working with international teams and a fast-paced environment.
* Skills in SQL, data pipelines, and familiarity with Snowflake and dbt.
Preferred Qualifications
We're looking for candidates with experience in Python or R and a strong understanding of data modeling and machine learning concepts.
Accommodation Information
We value diverse skills and backgrounds. Please share your pronouns and any accommodations needed during the interview process. All interviews are conducted virtually.