FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

Senior Data Scientist, Growth Data
Wealthsimple. Serve as domain expert for a key marketing pillar and directly responsible individual for the domain area .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in digital marketing mechanics, including attribution modeling and multi-channel campaign performance, while leveraging strong technical skills in Python and SQL to build data products and optimize marketing strategies. Capable of driving insights through A/B testing and causal inference, with a proven ability to communicate complex concepts to diverse stakeholders.
Highest-signal resume keywords
Python ProgrammingSQL ProficiencyAttribution ModelingA/B TestingData-Driven Decision Systems
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Algorithm DevelopmentCausal InferenceIncrementality AnalysisData Infrastructure DevelopmentExploratory AnalysisMarketing MeasurementMulti-Touch AttributionBudget OptimizationProduction-Quality CodeLifecycle Data Analysis
Soft Skills
Excellent CommunicationCritical ThinkingOwnershipAdaptabilityCollaboration
Tools & Technologies
AI ToolingAnalytics PipelinesDashboardsReporting ToolsAd Platforms
Industry Keywords
Digital MarketingMarketing AnalyticsConversion OptimizationData IntegrationCustomer Behaviour
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Serve as domain expert for a key marketing pillar and directly responsible individual for the domain area
- Build data products and algorithms optimizing budget allocation, targeting strategies, and multi-channel campaign performance
- Design and implement marketing measurement strategies, including attribution modeling, incrementality analysis, and multi-touch attribution
- Drive marketing strategy through data insights, A/B testing, and causal inference to maximize marketing-spend ROI
- Develop and maintain analytics pipelines and data infrastructure with data engineers and data scientists
- Conduct exploratory analysis to identify growth opportunities, understand customer behaviour, and optimize marketing tactics
- Provide reporting, dashboards, and ad-hoc analytics support to marketing stakeholders
- Leverage AI tooling to handle operational tasks efficiently
- Partner with Google, Meta, and other ad platforms and internal engineering teams on tracking, data integration, and measurement
- Collaborate with Growth, Product, Engineering, marketing stakeholders, data engineers, and data scientists
- Own projects end to end and ship simple, effective solutions
Requirements
What you’ll need- Understanding of digital marketing mechanics including attribution, ad platforms, tracking, and conversion optimization
- Experience working with lifecycle data and understanding ways of reaching new and existing customers holistically
- Strong technical skills in Python and SQL with experience building production-quality code
- 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
- Demonstrated ownership as the data DRI on complex projects end to end
- Ability to use AI effectively while providing strategic guidance and critical thinking
- Full-stack data science experience, from dashboards and reporting to sophisticated algorithm development
- Ability to contribute to strategic direction in marketing analytics from day one with minimal ramp-up time
- Experience with marketing measurement, attribution, and incrementality
- Ability to adjust quickly to changing priorities and manage complexity
- Willingness to teach, learn, and seek feedback
- Experience at larger-scale tech companies developing internal analytics and optimization systems is ideal
- Must be legally eligible to work in Canada
Benefits
Comp & perks- Equity compensation for permanent employees
- Top-tier health benefits and life insurance
- Long-term group savings with employer match, through Wealthsimple for Business
- 20 vacation days per year
- 4 wellness days per year
- Unlimited sick and mental health days per year*
- Ability to work outside Canada for up to 90 days per year*
- Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS
- Remote-first work from anywhere in Canada
- AI tooling to amplify impact and focus on strategic challenges
- *Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles.