Wealthsimple: Sr Data Scientist, Growth Product
Wealthsimple
Job description
Headquarters: Remote / Canada Build something people love Wealthsimple is on a mission to help everyone achieve financial freedom by reimagining what it means to manage your money. Using smart technology, we take financial services that are often confusing and expensive and make them transparent and low-cost for everyone. We’re the largest fintech company in Canada, with 3+ million users who trust us with more than $100 billion in assets. And we’re just getting started. We’re looking for someone who thinks big, sweats the small stuff and keeps things simple. You’ll join a high-bar, fast-paced team where people are trusted to own their work, communicate openly, and ship things that improve our clients’ lives. Collaboration, humility, and an obsession over quality are how we get stuff done. The Growth Product Data Science team consists of data scientists with diverse educational backgrounds. Our team is responsible for leading data science initiatives across the global client experience – partnering with Consolidation, Product Marketing, Lifecycle Marketing, and Product Engagement to deliver quantitative insights, personalization, and predictive models that directly shape Wealthsimple's growth strategy. We are a full-stack data science team, meaning we own the end-to-end lifecycle: data modeling, dashboards, predictive models, experiment design and analysis, ad-hoc analysis, and opportunity identification. We operate as consultative partners to our stakeholders – solving problems, identifying opportunities, and owning targeting – not executing tasks. We measure our success by the dollar value we deliver, the ideas we surface that get prioritized, and the model-based solutions we ship that outperform the status quo. This role will primarily partner with our Consolidation product team, which is focused on creating an incredible first 30-day experience for new clients and driving them to make Wealthsimple their primary financial relationship. The team's work spans onboarding, product-led consolidation, the Home experience, Tiers, and account discovery. With touchpoints across so many critical surfaces, you'll be uniquely positioned to have outsized impact across all of these areas. In this role, you will have the opportunity to: Be the dedicated data science partner to the Consolidation product team, owning the analytics and modeling that power product-led growth across onboarding, activation, and full consolidation. Design and analyze rigorous product experiments across the client journey, from first funding through to full asset consolidation, using A/B testing, non-inferiority tests, and other causal inference methods to measure the impact of product changes on key growth metrics. Partner with the team's Personalization DRIs to incorporate machine learning models, such as next-best-account recommendations and personalized value propositions, into product flows where they will deliver the highest impact to clients. Develop deep product analytics to understand how clients move through the consolidation funnel, linking external accounts, reaching their first $5k, adopting multiple products, and identify where the biggest opportunities exist to accelerate that journey. Create and maintain data models and dashboards that monitor consolidation KPIs (Premium+ conversion, registrant-to-funded rates, linking rates, activation milestones) with a focus on data quality, accessibility, and efficiency. Collaborate cross-functionally with Product, Engineering, Growth, and Lifecycle Marketing to translate analytical findings into product decisions and shipped features. Proactively identify and size growth opportunities by being closest to the data, and then partner with stakeholders to get those opportunities prioritized and executed. Build automation tools and pipelines that increase team efficiency and scalability. Contribute to the team's culture of learning and knowledge sharing. Teach and learn from your teammates, and help make others successful. Take ownership and ship iteratively; believe that simple is better and Occam's razor is your friend. Requirements: 5+ years of experience in data science, decision science, or a similar quantitative role, including experience as the primary data scientist for a product domain or function. Strong product analytics skills. A deep experience understanding user funnels, activation metrics, and translating product usage data into actionable growth insights. Excellent stakeholder management and communication skills. Able to partner closely with product managers and present complex analytical findings to senior leadership. Curiosity and ownership: willing to dive deep into product strategies, business context, and data to surface insights proactively while handling ambiguity. Deep expertise in experimental design and causal inference (A/B testing, non-inferiority tests, factorial designs, power analysis, and related methods). This is core to the role. Strong technical skills in SQL and Python, with hands-on experience in data pipeline tools such as dbt and Airflow. Strong understanding of data visualization and analytics engineering principles. Results-driven mindset: comfortable keeping things as simple as possible to achieve product goals. Able to build and maintain multi-functional relationships with various teams across the business. Prior experience in growth, go-to-market, or product-led growth data science is a strong plus (but not essential). Experience in fintech or financial services is a plus. Experience mentoring or coaching junior data scientists is a plus Compensation & Equity Base salary range: For this role, candidates located in Canada can expect a base salary range of CAD $151,200 - $189,000. Actual compensation is determined based on skills, experience, and role level. Exceptional candidates may be considered above the top of the range, and pay can increase quickly for those who make a big impact in the role. Total compensation: In ad
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