Sr Data Scientist, AI Products

Stack

Responsibilities

• ▹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
• ▹Partner with Product Managers, Designers and Engineers to translate business goals into a technical AI roadmap
• ▹Build and maintain production-grade training pipelines and evaluation harnesses
• ▹Analyze production feedback and user interactions to iteratively refine models
• ▹Foster a collaborative culture: mentor teammates, simplify complex problems

Requirements

• ▹Deep product sense: define success metrics, translate business objectives into measurable hypotheses
• ▹Experience with product analytics to derive actionable insights for product roadmaps
• ▹Proven track record of converting model outputs into business outcomes
• ▹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

Nice to have

• ▹Background in recommender systems, representation learning or self-supervised learning
• ▹Production LLM application development experience
• ▹Open-source contributions or publications in AI

Soft skills

What we offer

• ▹Top-tier health benefits and life insurance
• ▹Long-term group savings with employer match
• ▹20 vacation days, 4 wellness days, unlimited sick and mental health days
• ▹Work outside Canada for up to 90 days per year
• ▹Employee resource groups
• ▹Hybrid team with over 1,500 employees across North America

About the company

Wealthsimple is Canada's leading financial innovator, offering managed investing, trading, crypto, tax filing and savings products. It serves more than 4 million Canadians and holds over $125 billion in assets under administration. Founded in 2014, headquartered in Toronto.