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.
🌸 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.
