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Wealthsimple

Senior Data Scientist, Crypto

Posted Yesterday
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In-Office or Remote
Hiring Remotely in Toronto, ON
Senior level
In-Office or Remote
Hiring Remotely in Toronto, ON
Senior level
The Senior Data Scientist will influence Wealthsimple's crypto experience by leveraging data analysis, problem-solving skills, and strong collaboration with cross-functional teams to shape product strategy and improve customer engagement and retention.
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Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $125 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada.

We're proud of what we've built — and we're just getting started. Read our Culture Manual and learn more about how we work.

The Crypto team helps shape some of Wealthsimple’s highest-priority product and business decisions, from onboarding and trading to engagement, retention, and new product development. As part of the broader Data Science & Engineering (DSE) organization, we partner closely with Product, Engineering, Design, and Operations to use experimentation, analytics, and strong product thinking to build crypto products that are accessible, intuitive, and trustworthy for millions of clients.

We’re looking for a Senior Product Data Scientist to help shape the future of Wealthsimple’s crypto experience through strong product thinking, analytical rigor, and close cross-functional partnership. You’ll work closely with Product, Engineering, Design, and Operations to identify opportunities, evaluate tradeoffs, and influence product and business decisions.

This role exists to help the team better understand customer behaviour, measure impact, and focus on the problems that matter most. You won’t just support decisions, you’ll help shape them by proactively surfacing insights, identifying opportunities, and helping bring clarity to complex product questions. This is not a data/ML engineering role. While you will build data pipelines and occasional models, your primary output is high-quality business decisions

What you’ll do

  • Partner with Product, Engineering, Design, and Operations to inform and shape product strategy, prioritization, and decision-making

  • Develop metrics, data models, and analytical frameworks that improve how teams understand customer behaviour and business performance

  • Identify opportunities to improve customer experience, growth, retention, and operational efficiency through data

  • Translate complex business questions into clear recommendations and actionable insights

  • Proactively surface trends, risks, and opportunities that help the team focus on the highest-impact work

  • Collaborate with Analytics Engineering to improve the quality, scalability, and usability of data foundations for the team

What you bring:

  • 5+ years experience working in data science, product analytics, experimentation, or a related field

  • Strong analytical and problem-solving skills using SQL and Python

  • Ability to influence product or business decisions through data and clear communication

  • Strong product thinking and the ability to connect customer behaviour to business outcomes

  • Comfort working cross-functionally and building strong relationships across disciplines

  • Familiarity with experimentation and causal inference methods

  • Exposure to DBT or modern data modelling tooling

  • Knowledge of fintech, investing, or crypto products

  • Experience using AI tools to improve analysis, communication, or decision-making workflows

Who you are
  • You’re curious and proactive, and you look beyond the immediate ask to identify opportunities for impact

  • You’re comfortable working through unclear problems and helping teams create clarity

  • You balance analytical rigor with pragmatism and good judgment

  • You communicate thoughtfully and adapt well to different audiences

  • You value collaboration and work well with people across different functions and perspectives

  • You’re excited to learn new domains and tackle unfamiliar problems

  • You care about building products that genuinely improve clients’ financial lives

Why Wealthsimple?

🌸 Top-tier health benefits and life insurance

📈 Long-term group savings with employer match, through Wealthsimple for Business

🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year

✈️ 90 days away: work outside Canada for up to 90 days per year

👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS

🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work.

ICYMI

Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building.

Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status.

Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs.

AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.

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