Sr Data Scientist, AI Products
$151,000–$151,000 year
Remote
Job Summary
Lead the full AI product lifecycle by defining KPIs, training foundation models, and measuring real-world impact for over 4 million Canadians. Design and execute rigorous experiments, including A/B tests and 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 alignment 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. Mentor teammates, simplify complex problems, and drive iterative, high-impact delivery within a full-stack, product-driven unit.
Required Qualifications
- 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
Desired Qualifications
- Background in recommender systems, representation learning, or self-supervised learning; production LLM application development; open-source contributions or publications in AI
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