Sr Data Scientist, Marketing Data

Wealthsimple

1d • Remote

About The Position

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.

Requirements

• 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

Nice To Haves

• 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

Responsibilities

• 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!)

Benefits

• 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)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed