Job Description
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 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.
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 it—continuously look for the simplest, most effective way to approach challenges; Occam’s razor is your friend.
- Work where you are (while our Canadian offices are located in Toronto, we are a remote-first workforce and you can join from anywhere in Canada!)
Skills we are looking for:
- 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
Compensation & Equity
🤑 Base salary range: For this role, candidates located in Canada can expect a base salary range of CAD $151,200 - $189,000. Actual compensation is determined based on skills, experience, and role level. Exceptional candidates may be considered above the top of the range, and pay can increase quickly for those who make a big impact in the role.
🚀 Total compensation: In addition to base salary, this role includes equity compensation. We use clear job levels and market-based salary bands to ensure compensation is fair and consistent across the company.
Why Wealthsimple?
🌸 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)
🌎 We’re a remote first team with over 1,500 employees across North America - and one of the best things about working here is the people. You’ll be collaborating with incredibly talented, curious, and driven teammates who care deeply about doing great work.
Be a part of our Canadian success story and help shape the financial future of millions.
Read our Culture Manual and learn more about how we work.
Technology & Innovation at Wealthsimple
We believe the future belongs to those who innovate boldly. At Wealthsimple, every team member is expected to lean into new technologies, including AI, and tooling to rethink how we work, solve problems faster, and create even greater value. We’re looking for people who are not just comfortable with change but energized by it. Our commitment is to build a company that evolves at the pace of the world around us, and we want you to help lead that future.
DEI Statement
At Wealthsimple, we are building products for a diverse world and we need a diverse team to do that successfully. We strongly encourage applications from everyone regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status.
Accessibility Statement
Wealthsimple provides an accessible candidate experience. If you need any accommodations or adjustments throughout the interview process and beyond, please let us know, and we will work with you to provide the necessary support and make reasonable accommodations to facilitate your participation. We are continuously working to improve our accessibility practices and welcome any feedback or suggestions on how we can better accommodate candidates with accessibility needs.
At Wealthsimple, we want interviews to feel like genuine conversations. To support this, we use AI transcription during recruiter interviews. This allows recruiters to be fully engaged, ask thoughtful follow-up questions, and ensure your experiences are captured accurately. You’ll always have the choice to opt in or out before we begin.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
