Senior Data Scientist, Growth Data

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