Wealthsimple Technologies - Senior Data Scientist, Marketing Data
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Requirements
• Be a part of our Canadian success story and help shape the financial future of millions. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers. • 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. • 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 • We are looking for someone who: • 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.
Benefits
• High visibility, high impact: 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. • In-demand skill set: Build valuable skills in marketing analytics and optimization that are highly sought after in the tech market. • Strategic domain ownership: Own a key pillar of Wealthsimple's growth strategy and build deep expertise in a lasting problem space. • AI-enabled efficiency: Leverage cutting-edge AI tooling to amplify your impact and focus on the most strategic challenges • 🌸 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) • 🌎 We’re a remote first team with over 1,500 employees across North America - and one of the best things about working here is the people. You’ll be collaborating with incredibly talented, curious, and driven teammates who care deeply about doing great work. • Technology & Innovation at Wealthsimple • We believe the future belongs to those who innovate boldly. At Wealthsimple, every team member is expected to lean into new technologies, including AI, and tooling to rethink how we work, solve problems faster, and create even greater value. We're looking for people who are not just comfortable with change but energized by it. Our commitment is to build a company that evolves at the pace of the world around us, and we want you to help lead that future. • At Wealthsimple, we are building products for a diverse world and we need a diverse team to do that successfully. We strongly encourage applications from everyone regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. • Accessibility Statement • Wealthsimple provides an accessible candidate experience. If you need any accommodations or adjustments throughout the interview process and beyond, please let us know, and we will work with you to provide the necessary support and make reasonable accommodations to facilitate your participation. We are continuously working to improve our accessibility practices and welcome any feedback or suggestions on how we can better accommodate candidates with accessibility needs. • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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