Data Scientist (Sales)
Wealthsimple
- Canada
- Mid Level
- 2+ years
- Posted
Skills
Required
- Airflow
- Data Science / Decision Science / Analytics
- data architecture
- SQL
- Python
- designing clean data models
- managing data pipeline flows
- dbt
Preferred
- data engineering/pipelining
- sales processes
Join Wealthsimple, a leading financial technology company, as a Data Scientist in the Sales Data team. In this role, you will bridge the gap between data architecture and applied science, optimizing commercial operations and driving revenue growth. You will design, build, and maintain data pipelines and commercial data marts, develop metrics and dashboards, and manage relationships with business stakeholders. The position offers a range of benefits, including retirement savings matching, company equity, paid parental leave, and top-tier health benefits.
Responsibilities
- Design, build, and maintain accurate, reliable data pipelines and commercial data marts using modern tools like dbt and Airflow.
- Balance technical execution roughly 50/50 between data engineering/pipelining and applied data science/analytics to optimize commercial operations.
- Manage direct relationships with business stakeholders across Sales Operations, Commercial Leadership, Revenue Operations, and Product, and communicate technical findings effectively.
- Comfort working with messy, sparse, or unstructured datasets to extract actionable insights about client behavior and sales processes
- Applied Statistics & ML Foundations: Practical understanding of foundational statistical concepts, experimentation (A/B testing), and machine learning techniques applied to real-world business problems
Requirements
- Strong proficiency in SQL & Python, with hands-on experience building and maintaining data pipelines using tools like dbt and Airflow
- 2–4 years of experience in a Data Science, Decision Science, or Analytics Engineering role
- Data Engineering Aptitude: Comfortable working with data architecture, designing clean data models, and managing data pipeline flows
- Stakeholder Relationship Building: Ability to communicate technical findings, build trust, and align priorities with business stakeholders independently
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