Senior Data Scientist

Summary

Join Wealthsimple's Investing Data Science & Engineering team as an experienced data scientist. You will work on high-priority initiatives, ensuring data-driven product strategy. Responsibilities include analyzing user behavior, developing experiments, applying causal inference, using machine learning for user segmentation and personalization, and building data models and pipelines. You'll partner with various teams and apply software engineering best practices. This role offers the opportunity to solve real-world product problems and influence strategic decisions. Wealthsimple is a remote-first company, offering a competitive salary and benefits package.

Requirements

• Strong business acumen and product sense
• Excellent Python and SQL skills, first hand experience working with popular Python libraries such as Pandas, scikit-learn, numpy and Jupyter
• Strong understanding of statistics: both frequentist and Bayesian approaches
• Strong understanding of fundamental machine-learning algorithms: regression and decision trees
• Is able to articulate their stance in a manner that effectively collaborates with different stakeholders
• Adjusts quickly to changing priorities and effectively manages complexity and change
• Has exceptional communication skills and is able to communicate effectively with both technical and non-technical teams
• Is eager to teach and learn from your team. We value making each other successful
• Is a lifelong learner. You're constantly seeking and welcoming feedback to continue improving yourself and your craft

Responsibilities

• Analyze user behaviour to understand how clients interact with the product
• Develop and implement experiments to evaluate new features and product changes
• Apply causal inference methods in non-experimental settings
• Use machine learning algorithms to segment users and personalize product experiences
• Develop and maintain core data models and pipelines to ensure data quality and accessibility
• Partner with our Product, Product Marketing, and Engineering teams to support work across some of Wealthsimple's highest priority efforts
• Build robust, efficient, and integrated data models in cloud data warehouses that will be used as the source of truth for analytics across the Investing product organization
• Apply statistical techniques and build machine learning models to solve real life product problems and to inform product decisions and strategies
• Apply software engineering best practices like version control and continuous integration to the analytics code base; ensure data models are well tested, documented and maintained
• Translate business requirements into data models and analysis that will help stakeholders answer key business questions and inform strategic decisions
• Continuously look for the simplest, most effective way to approach challenges; Occam's razor is your friend
• Take ownership and ship it

Benefits

• Competitive salary with top-tier health benefits and life insurance
• Retirement savings matching plan using Wealthsimple Work
• 20 vacation days per year and unlimited sick and mental health days
• Up to $1,500 per year towards wellness and professional development budgets respectively
• 90 days away program: Employees can work internationally in eligible countries for up to 90 days per calendar year
• A wide variety of peer and company-led Employee Resource Groups (ie. Rainbow, Women of Wealthsimple, Black @ WS)
• Company-wide wellness days off scheduled throughout the year
• Work where you are (while our Canadian offices are located in Toronto, we are a remote-first workforce and you can join from anywhere in Canada)