Sr Data Scientist, Marketing Data

Build something people love  Wealthsimple is on a mission to help everyone achieve financial freedom by reimagining what it means to manage your money. Using smart technology, we take financial services that are often confusing and expensive and make them transparent and low-cost for everyone. We’re the largest fintech company in Canada, with 3+ million users who trust us with more than $100 billion in assets.

And we’re just getting started.
We’re looking for someone who thinks big, sweats the small stuff and keeps things simple. You’ll join a high-bar, fast-paced team where people are trusted to own their work, communicate openly, and ship things that improve our clients’ lives. Collaboration, humility, and an obsession over quality are how we get stuff done.
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. The team is responsible for enabling data-driven decision making and building data products  Marketing Data team sits within the broader Growth Data organization and focuses on driving new user acquisition and net deposit targets through marketing efforts including paid, organic, and branding initiatives.

Our team is structured around key domain areas including promotions, referral and social sharing, paid marketing, and organic/upper funnel marketing measurement. We work closely with cross-functional partners in Growth, Product, and Engineering to optimize our marketing investments and scale Wealthsimple s customer base.
About the role  Marketing is a cornerstone of Wealthsimple s growth strategy, and the Marketing Data team plays a critical role in enabling data-driven decision making across all marketing channels. We re looking for a Senior Data Scientist who will serve as a domain expert for one of our key marketing pillars—driving optimization through sophisticated algorithms, measurement systems, and strategic insights that influence millions of dollars in marketing spend.
In this role, you ll be the DRI (Directly Responsible Individual) for your domain area, building data products and analytics solutions that directly impact business outcomes. You ll work on challenging problems ranging from marketing optimization algorithms to attribution modeling, experimentation, and strategic measurement. You ll collaborate closely with marketing stakeholders to understand business needs and translate them into technical solutions, while also partnering with data engineers and other data scientists on shared infrastructure.
This is a full-stack data science role where you ll wear many hats: algorithm developer, measurement strategist, analyst, experimenter, and business partner. We re looking for someone who can hit the ground running with strong marketing analytics expertise and contribute to strategic direction from day one.
In this role, you will have the opportunity to:
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…