Top Benefits
Retirement savings matching plan
Company equity
Top-tier health benefits
About the role
- 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
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- 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
- Strong product analytics skills. A deep experience understanding user funnels, activation metrics, and translating product usage data into actionable growth insights
- Able to build and maintain multi-functional relationships with various teams across the business
- Experience in fintech or financial services is a plus
- 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
- 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
- Experience mentoring or coaching junior data scientists is a plus
- 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
- Prior experience in growth, go-to-market, or product-led growth data science is a strong plus (but not essential)
- Results-driven mindset: comfortable keeping things as simple as possible to achieve product goals
Not the right fit? Search for Data Scientist jobs in Canada {{REMOTE}}
Similar Jobs
Top Benefits
Retirement savings matching plan
Company equity
Top-tier health benefits
About the role
- 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
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- 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
- Strong product analytics skills. A deep experience understanding user funnels, activation metrics, and translating product usage data into actionable growth insights
- Able to build and maintain multi-functional relationships with various teams across the business
- Experience in fintech or financial services is a plus
- 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
- 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
- Experience mentoring or coaching junior data scientists is a plus
- 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
- Prior experience in growth, go-to-market, or product-led growth data science is a strong plus (but not essential)
- Results-driven mindset: comfortable keeping things as simple as possible to achieve product goals
Not the right fit? Search for Data Scientist jobs in Canada {{REMOTE}}