• 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
• 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

• Retirement savings matching plan through Wealthsimple Work
• Company equity for full-time employees
• Access to Premium Client perks, including personal finance learning & advice and a boosted interest rate on deposits
• Paid parental leave (6 months topped up to 100% of salary)
• 20 vacation days per year
• 90 Days Away program
• Top-tier health benefits
• Life & disability insurance
• Generous sick and mental health days
• Employee resource plan including services like RMT, psychology, and physiotherapy
• Up to $5,000 per year for mental health supports
• Gender Affirmation benefits
• Up to $1,500 per year for professional development
• Up to $1,500 per year for wellness and home office expenses
• Employee resource groups
• Social impact hours- Can contribute to strategic direction in marketing analytics from day one with minimal ramp-up time
• Excellent communication skills and ability to translate complex technical concepts for non-technical stakeholders
• Strong technical skills in Python and SQL with experience building production-quality code
• 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!
• Strong preference for prior experience working with marketing teams and paid advertising platforms (Google Ads, Meta Ads, programmatic advertising, etc.)
• Is a lifelong learner who’s constantly seeking feedback to continue improving their craft
• Has full-stack data science experience—comfortable with everything from dashboards and reporting to sophisticated algorithm development
• Understanding of digital marketing mechanics including attribution, ad platforms, tracking, and conversion optimization
• Strong foundation in causal inference, A/B testing, and experimental design
• Proven track record in algorithm development, optimization problems, or building data-driven decision systems
• Adjusts quickly to changing priorities and effectively manages complexity in a fast-paced growth environment
• 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
• Experience with measurement and attribution—ideally including building in-house attribution systems (not just using off-the-shelf tools like Google Analytics)
• Ideally has worked at larger-scale tech companies that develop internal analytics and optimization systems