Build something people love
Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $155 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada.
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.
The Data Science & Engineering (DSE) team consists of analytics engineers, data scientists, and software engineers and is responsible for enabling data-driven decision making and building data products at Wealthsimple.
The Growth Data 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.
The Growth 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 behaviour, 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:
Understanding of digital marketing mechanics including attribution, ad platforms, tracking, and conversion optimization
Experience working with lifecycle data, understands various of ways of reaching out to new/existing customers and how they fit together holistically
Strong technical skills in Python and SQL with experience building production-quality code
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
Demonstrated ownership as the data DRI on complex projects end to end, with proactive understanding of business context and how cross-functional teams build systems together
We are looking for someone who:
Can use AI effectively to increase efficiency and depth of the work, while still providing the strategic guidance and critical thinking
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
Why you'll love this role:
High visibility, high impact: Your work directly affects Wealthsimple's growth bottom line and influences strategic marketing decisions
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.
*Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles.
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.
