Data Scientist, ML - Valuations

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 Valuations Data Science & Engineering team consists of data scientists responsible for delivering state-of-the-art machine learning solutions and advanced analytics for all domains to support personalization and data-driven financial valuations at Wealthsimple. We're a highly collaborative group, with seasoned data experts and well supported by product managers, software developers, and risk strategists.
We are hiring for a data scientist for the Valuations DSE team under the umbrella of personalization. You will be responsible for the design and execution of product experiments and building robust machine learning pipelines to build the flagship personalization framework at Wealthsimple. A successful data scientist is able to blend expertise in experimental design, predictive modelling and software engineering while effectively communicating with stakeholders.

In this role, you will have the opportunity to:

• Go from 0 to 1 - Build and productionize personalization framework, including the machine learning model powering it.
• Design and execute product experiments to help improve Wealthsimple’s client experience.
• Work with cross-functional teams within Growth, Product, Marketing, and Engineering.
• Translate experimental results into products and solutions.
• Ensure models are well tested, documented and maintained.
• 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 and learning from each other.

Requirements:

• Experience in building end-to-end productionized machine learning pipelines.
• Experience in complex experimental design (A/B tests, factorial design).
• Strong technical skills in coding (SQL & Python) and statistical methods.
• Comfortable with software engineering best practices such as unit testing and version control.
• Experience with machine learning feature engineering.
• Results-driven: keeping things as simple as possible to achieve the product goals.
• Curiosity: willing to dive deep into product strategies and business context.
• Able to build and maintain multi-functional relationships with various teams across the business.
• Experience working in the risk management domain is a plus

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) 💖 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.
Technology & Innovation at WealthsimpleWe 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.
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