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Senior / Principal Data Scientist
LinkedIn Recruiter Post
Senior / Principal Data Scientist role focused on building and scaling GenAI and Agentic AI systems in production. Location: Toronto (Hybrid). Compensation up to $200K - 225k base.
About the role
- Senior Data Scientist at Wealthsimple utilizing advanced analytics for finance and risk management. Collaborating with cross-functional teams to optimize financial resources and enhance decision-making.
Responsibilities
- Apply advanced analytics techniques to solve complex business problems across finance and market risk domains.
- Develop and maintain the finance data mart, with a focus on optimizing data quality, accessibility, and efficiency.
- Create insightful dashboards to monitor financial KPIs, profitability metrics, and regulatory reporting requirements.
- Collaborate cross-functionally with finance, risk, and product teams to provide business intelligence support for financial reporting, product performance analysis, and forecasting.
- Productionize and make continuous improvements to Wealthsimple’s machine learning models, ensuring that models are well tested, documented and maintained.
- Build automation tools and pipelines to increase team efficiency and scalability.
- Design and execute product experiments to help improve Wealthsimple’s client experience.
- Translate analytical findings into actionable business solutions.
- Build and enhance data assets that support a variety of analytics tasks across the business.
- Believe that simple is better, Occam's razor is your friend.
- Take ownership and ship it; release incrementally and iteratively.
- Teach and learn from your teammates. We value making others successful
Requirements
- Strong technical skills in coding (SQL & Python) and statistical methods.
- Strong understanding of data visualization principles and methodologies, including analytics engineering.
- Able to build and maintain multi-functional relationships with various teams across the business.
- Experience in building end-to-end productionized machine learning pipelines.
- Comfortable with software engineering best practices such as unit testing and version control.
- Results-driven: keeping things as simple as possible to achieve the product goals.
- Curiosity: willing to dive deep into product strategies and business context.
- Experience in complex experimental design (A/B tests, factorial design).
- Experience working in finance and risk management domain is a plus
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)
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