Senior Data Scientist in Toronto

Build something people love. Wealthsimple is Canada's leading financial innovator, offering 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 Data Science & Engineering (DSE) team consists of analytics engineers, data scientists, and software engineers 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.

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 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.