Build something people love
Wealthsimple's mission is to help everyone achieve financial freedom – by making financial services simple, transparent, and low-cost. We're Canada's largest fintech, trusted by over 3 million clients with more than $100 billion in assets. We move fast, we own our work, and we care deeply about the people using our products. If that sounds like you, keep reading.
We're proud of what we've built — and we're just getting started. Read our Culture Manual and learn more about how we work.
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 at Wealthsimple.
The 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.
What you'll do
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.
Skills you bring
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
We are looking for someone who:
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 membersIs 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.
Why you'll love this role
High visibility, high impact: Your work directly affects Wealthsimple's growth bottom line and influences strategic marketing decision.
Diverse technical challenges: Develop expertise across measurement, A/B testing, causal inference, machine learning, and algorithm development.
In-demand skill set: Build valuable skills in marketing analytics and optimization that are highly sought after in the tech market.
Strategic domain ownership: Own a key pillar of Wealthsimple's growth strategy and build deep expertise in a lasting problem space.
AI-enabled efficiency: Leverage cutting-edge AI tooling to amplify your impact and focus on the most strategic challenges.
Why Wealthsimple?
🌸 Top-tier health benefits and life insurance
📈 Long-term group savings with employer match, through Wealthsimple for Business
🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year
✈️ 90 days away: work outside Canada for up to 90 days per year
👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS
🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work.
ICYMI
Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building.
Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status.
Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs.
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. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.
Compensation Range: CA$151.2K - CA$189K