Senior Data Science Manager

Summary

Join Wealthsimple's Investing team as an experienced data science leader! You'll work on high-priority initiatives, ensuring data-driven product strategy. Responsibilities include managing a team, building data models, applying machine learning, and collaborating with cross-functional teams. You'll need experience leading data science teams, strong business acumen, excellent Python and SQL skills, and a deep understanding of statistics and machine learning. Wealthsimple offers competitive salary, top-tier health benefits, retirement savings matching, generous vacation time, wellness and professional development budgets, and a remote-first work environment.

Requirements

• Experience leading multiple Data Science teams and a proven dedication to helping your teams and others grow
• Strong business acumen and product sense and ability to help drive strategic vision
• Excellent Python & 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
• 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
• Can coach people in their current roles to improve performance and prepare them for future roles
• Has exceptional communication skills and is able to communicate effectively to both technical and non-technical teams
• Plans, organizes, schedules, and budgets in an efficient, productive manner
• 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

• Manage the partnership with our Product, Product Marketing and Engineering teams to support works across some of Wealthsimple’s highest priority efforts
• Lead a best-in-class team of data scientists and grow each individual
• Build robust, efficient, and integrated data models in cloud data warehouse that will be used as the source of truth for analytics across the Investing product organization
• Set organizational standards and influence our data science and engineering culture
• 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
• Empower the team by leveraging their diverse educational backgrounds
• 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

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!)