Senior Data Scientist, Marketing Data

(canada), CanadaHybrid

Responsibilities

BUILD SOMETHING PEOPLE LOVE Wealthsimple's mission is to help everyone achieve financial freedom – by making financial services simple, transparent, and low-cost.
- Design and implement measurement strategies for marketing initiatives, including attribution modeling, incrementality analysis, and multi-touch attribution.
- Drive marketing strategy through data insights, A/B testing, and causal inference methodologies to maximize ROI on marketing spend.
- Conduct exploratory analysis to identify growth opportunities, understand customer behavior, and optimize marketing tactics.

ABOUT THE TEAM The Data Science & Engineering (DSE) team consists of analytics engineers, data scientists, and software engineers with diverse educational backgrounds such as math, operations research, economics, computer science, engineering and business.
- Leverage AI tooling to handle operational tasks efficiently and focus your expertise on high-impact strategic problems.
experience working with marketing teams and paid advertising platforms (Google Ads, Meta Ads, programmatic advertising, etc.). - Understanding of digital marketing mechanics including attribution, ad platforms, tracking, and conversion optimization. - Strong technical skills in Python and SQL with
Experience with measurement and attribution—ideally including building in-house attribution systems (not just using off-the-shelf tools like Google Analytics).
- Excellent communication skills and ability to translate complex technical concepts for non-technical stakeholders WE ARE LOOKING FOR SOMEONE WHO: - Has full-stack data science experience—comfortable with everything from dashboards and reporting to sophisticated algorithm development.
- AI-enabled efficiency: Leverage cutting-edge AI tooling to amplify
That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem.
AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses.