Senior Data Scientist, Growth Product

Role Overview

• 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

Tech Stack

• Airflow
• Python
• SQL

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)