Job description
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 3+ million users who trust us with more than $100 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.
The Growth Data Science team partners closely with Wealthsimple’s growth functions (Marketing, Sales, Growth Product) to deliver data-driven solutions that drive client acquisition, net deposits, and consolidation. Our data scientists own end-to-end data solutions including data modelling, reporting, experimentation, statistical analysis, predictive modelling, and machine learning.
The Senior Manager, Data Science will be leading the Client Journey Data Science team consisting of Sales Data Science and Growth Product Data Science. The Sales Data Science team is responsible for equipping our sales teams with tools and insights to drive lead conversion. Some example projects include Lead Scoring, Lead Routing, Attribution Models, and build CRM pipelines. The Growth Product Data Science team is responsible for building data-driven solutions that power our in-app experience to drive conversion, cross-sell and consolidation. Some example projects include Next Best Action modelling, Personalized Offers, and in-app marketing campaigns.
In this role, you’ll have the opportunity to
- Partner with Commercial, Growth Marketing, Product Marketing, and Growth Product teams to identify and build data science solutions that drive client conversion, engagement and consolidation, while helping our clients build wealth.
- Build our vision of what a data-powered client journey looks like, including how we leverage personalization or segmentation to convert, engage, and build deeper relationships with clients.
- Drive a data-first understanding within the organization of the client journey, from Lead to Retention, to help inform our Acquisition, Loyalty and Retention strategies.
- Work with your teams to develop end-to-end portfolios of data tools, including pipelines and data models, metrics, experimentation, reporting solutions, statistical models and machine learning models.
- Lead two data science teams in executing solution development. Establish roadmaps, team structures and processes, and best-in-class data team practices to deliver high quality data outputs.
- Elevate the role of data teams in the organization by bringing visibility to our work through roadshows, sharing data insights, and driving adoption of data-driven solutions.
What you’ll bring
- At least 5 years of experience managing multiple data science teams, including managing managers.
- At least 8-10 years of experience leading technical data science initiatives, including data modelling/architecture, experimentation, reporting & analytics, and predictive / prescriptive modelling.
- Demonstrated experience of driving business outcomes with data (revenue growth, client acquisition/conversion, retention).
- Strong business acumen and experience in client acquisition, growth and loyalty.
- Excellent SQL and Python skills and ability to work with popular data science frameworks, including numpy, pandas, scikit-learn, statsmodels, matplotlib, seaborn.
Why Wealthsimple?
🤑 Competitive salary with top-tier health benefits and life insurance
📈 Retirement savings matching plan using Wealthsimple for Business
🌴 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)
💖 Allocated number of Wellness Days that can be scheduled over the course of 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.
Technology & Innovation at Wealthsimple
We believe the future belongs to those who innovate boldly. At Wealthsimple, every team member is expected to lean into new technologies, including AI, and tooling to rethink how we work, solve problems faster, and create even greater value. We’re looking for people who are not just comfortable with change but energized by it. Our commitment is to build a company that evolves at the pace of the world around us, and we want you to help lead that future.
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
