高级数据科学家，人工智能产品
Sr Data Scientist, AI Products
### **打造人们喜爱的产品**
Wealthsimple 是加拿大领先的金融创新公司。公司提供一系列简单而复杂的金融产品，涵盖管理投资、自助交易、加密货币、税务申报、消费和储蓄。Wealthsimple 目前为超过 400 万加拿大用户提供服务，并管理着超过 1550 亿美元的资产。公司由一群金融专家和技术创业者于 2014 年创立，总部位于加拿大多伦多。
我们为自己所构建的一切感到自豪——而这仅仅是开始。阅读我们的 [文化手册](https://www.wealthsimple.com/en-ca/culture) 并了解更多 [我们的工作方式](https://www.wealthsimple.com/en-ca/careers)。
AI 产品数据科学团队是 Wealthsimple 创新核心的一个全栈、以产品为导向的单元。我们负责端到端的 AI 生命周期：从模型架构和数据管道到设计能够对超过 400 万加拿大用户产生实际影响的实验。
我们正在寻找一位 **高级数据科学家**，能够在 AI 研究与产品开发的交汇点上茁壮成长。你是一位能够设计和扩展复杂模型，同时保持产品经理思维的人，不断思考我们的技术如何为客户创造价值。在这个协作的角色中，你将把技术突破转化为无缝的产品体验，确保我们推出的每一个模型都能推动业务发展。
**在这一职位中，你将有机会：**
- 主导完整的 AI 产品生命周期：从识别用户痛点和定义 KPI 到训练基础模型并衡量实际影响。
- 设计并执行严格的实验（A/B 测试、因果推断）以验证新的 AI 功能并推动产品优化。
- 与产品经理、设计师和工程师合作，将业务目标转化为技术 AI 路线图，确保我们的模型开发始终与用户需求和技术可行性保持一致。
- 使用可重复、经过充分测试的代码构建和维护生产级训练管道和评估框架。
- 分析生产反馈和用户交互，迭代优化模型并最大化价值。
- 培养协作文化：指导团队成员，简化复杂问题，并推动迭代、高影响力的交付。
**你带来的：**
- 深刻的产品意识：定义成功指标，将模糊的业务目标转化为可衡量的假设
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### **Build something people love**
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 $155 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](https://www.wealthsimple.com/en-ca/culture) and learn more about [how we work](https://www.wealthsimple.com/en-ca/careers).
The AI Products Data Science team is a full-stack, product-driven unit at the heart of Wealthsimple’s innovation. We own the end-to-end AI lifecycle: from model architecture and data pipelines to designing experiments that drive real-world impact for over 4 million Canadians.
We are looking for a **Senior Data Scientist** who thrives at the intersection of AI research and product development. You are someone who can design and scale complex models while maintaining a product manager’s mindset, constantly asking how our technology creates value for our clients. In this collaborative role, you will transform technical breakthroughs into seamless product experiences, ensuring that every model we ship moves the needle for our business.
**In this role, you'll have the opportunity to:**
- Lead the full AI product lifecycle: from identifying user pain points and defining KPIs to training foundation models and measuring real-world impact.
- Design and execute rigorous experiments (A/B tests, causal inference) to validate new AI features and drive product optimizations.
- Partner with Product Managers, Designers, and Engineers to translate business goals into a technical AI roadmap, ensuring our model development stays aligned with user needs and technical feasibility.
- Build and maintain production-grade training pipelines and evaluation harnesses using reproducible, well-tested code.
- Analyze production feedback and user interactions to iteratively refine models and maximize value.
- Foster a collaborative culture: mentor teammates, simplify complex problems, and drive iterative, high-impact delivery.
**What you bring:**
- Deep product sense: define success metrics, translate vague business objectives into measurable hypotheses, and measure product impact through A/B testing and causal inference.
- Experience with product analytics to derive actionable insights that inform product roadmaps.
- Proven track record of converting model outputs into business outcomes; comfortable communicating technical findings to cross-functional partners (PMs, designers, engineers) to drive alignment.
- Experience designing, training, and shipping production AI models, with depth in transformer architectures and LLMs.
- Solid fundamentals (attention, tokenization, embeddings, regularization) and failure mode analysis.
- Familiarity with fine-tuning (LoRA, adapters), knowledge distillation, quantization, and instruction tuning.
**Bonus:**
- Background in recommender systems, representation learning, or self-supervised learning; production LLM application development; open-source contributions or publications in AI.
### **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.