Senior Data & Trust Partner at TELUS enhancing data governance and AI capabilities. Collaborating with leadership to implement trust strategies and improve organizational design.
About the role
- Senior Data Scientist responsible for optimizing marketing performance through data-driven decision making at fintech leader Wealthsimple. Working on algorithms, analytics solutions, and cross-functional collaborations.
Responsibilities
- Build data products and algorithms that optimize marketing performance—including budget allocation, targeting strategies, and campaign optimization across multiple channels.
- 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.
- Develop and maintain analytics pipelines and data infrastructure, working collaboratively with data engineers and other data scientists.
- Conduct exploratory analysis to identify growth opportunities, understand customer behavior, and optimize marketing tactics.
- Provide business-as-usual analytics support including reporting, dashboards, and ad-hoc analysis for marketing stakeholders.
- Leverage AI tooling to handle operational tasks efficiently and focus your expertise on high-impact strategic problems.
- Partner with ad platforms (Google, Meta, etc.) and internal engineering teams to ensure robust tracking, data integration, and measurement capabilities.
- Take ownership and ship it—continuously look for the simplest, most effective way to approach challenges; Occam's razor is your friend.
Requirements
- Strong preference for prior 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 building production-quality code.
- Experience with measurement and attribution—ideally including building in-house attribution systems (not just using off-the-shelf tools like Google Analytics).
- Proven track record in algorithm development, optimization problems, or building data-driven decision systems.
- Strong foundation in causal inference, A/B testing, and experimental design.
- Excellent communication skills and ability to translate complex technical concepts for non-technical stakeholders.
- Has full-stack data science experience—comfortable with everything from dashboards and reporting to sophisticated algorithm development.
- Can contribute to strategic direction in marketing analytics from day one with minimal ramp-up time.
- Thrives in a collaborative, multi-faceted environment with ongoing alignment across stakeholders and data team members.
- Is passionate about measurement and understanding what drives business outcomes—navigating the complexities of attribution and incrementality.
- Ideally has worked at larger-scale tech companies that develop internal analytics and optimization systems.
- Adjusts quickly to changing priorities and effectively manages complexity in a fast-paced growth environment.
- Values simplicity and pragmatism—knows when to build sophisticated solutions and when a simpler approach will suffice.
- Is eager to teach and learn. We value making each other successful!
- Is a lifelong learner who's constantly seeking feedback to continue improving their craft
Benefits
- Top-tier health benefits and life insurance
- Long-term group savings with employer match using our Wealthsimple for Business platform
- 20 vacation days + 4 wellness days per year, and unlimited sick and mental health days
- 90 days away program: Employees can work outside of Canada for up to 90 days per calendar year
- A wide variety of peer and company-led Employee Resources Groups (e.g., Rainbow, Women of Wealthsimple, Black @ WS)
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