DATA SCIENTIST MARKETING SENIOR (H/F)

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.
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.

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.
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!)
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
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.
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.
Build valuable skills in marketing analytics and optimization that are highly sought after in the tech market.
AI-enabled efficiency: Leverage cutting-edge AI tooling to amplify your impact and focus on the most strategic challenges