Senior Data Science Manager

Your career is an investment that grows over time!

Wealthsimple is on a mission to help everyone achieve financial freedom by reimagining what it means to manage your money. Using smart technology, we take financial services that are often confusing, opaque and expensive and make them transparent and low-cost for everyone. We’re the largest fintech company in Canada, with over 4 million users who trust us with more than $50 billion in assets.

Our teams ship often and make an impact with groundbreaking ideas. We're looking for talented people who keep it simple and value collaboration and humility as we continue to create inclusive and high-performing teams where people can be inspired to do their best work.

About the team:

The Data Science & Engineering (DSE) team consists of analytics engineers, data scientists, and software engineers with diverse educational backgrounds such as math, operations research, economics, computer science, engineering and business. The team is responsible for enabling data-driven decision making and building data products at Wealthsimple.

We achieve these goals by:

- Building a high quality and scalable state-of-the-art data warehouse that powers all decision making

- Leveraging machine learning and algorithms to help Wealthsimple build smarter financial products

- Using decision science to understand the cause and effect of our business decisions

About the role:

At Wealthsimple, our Investing teams are the driving force behind Self Directed Investing and Managed Invest products.  We are hiring for an experienced data science leader to join our Investing leadership team.  This individual will work on some of the highest priority initiatives at Wealthsimple, ensuring that our product strategy is well grounded in data and analytics.

Some of your projects may include, but not be limited to: 

- 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

• 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.
• 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!)

• 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

Why Wealthsimple?

🤑 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

We’re a remote-first team, with over 1,000 employees coast to coast in North America. Be a part of our Canadian success story and help shape the financial future of millions — join us!

Read our Culture Manual and learn more about how we work.

DEI Statement

At Wealthsimple, we are building products for a diverse world and we need a diverse team to do that successfully. We strongly encourage applications from everyone regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. 

Accessibility Statement

Wealthsimple provides an accessible candidate experience. If you need any accommodations or adjustments throughout the interview process and beyond, please let us know, and we will work with you to provide the necessary support and make reasonable accommodations to facilitate your participation. We are continuously working to improve our accessibility practices and welcome any feedback or suggestions on how we can better accommodate candidates with accessibility needs.