Wealthsimple

2 weeks ago

Sr Data Scientist, AI Products

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Lead the end-to-end AI lifecycle for product-driven AI at Wealthsimple, turning research breakthroughs into measurable customer and business impact. You’ll design and scale production foundation models, define KPIs, and run rigorous experiments using A/B testing and causal inference. Partner closely with Product Managers, Designers, and Engineers to shape an AI roadmap, build reliable training pipelines and evaluation harnesses, and iteratively refine models from production feedback.

Location: Toronto

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Lead the 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 AI features and drive product optimizations.
•Partner with Product Managers, Designers, and Engineers to translate business goals into a technical AI roadmap aligned with user needs and 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.

Pay and Benefits

Salary: CAD 151,000 - 189,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceLife InsurancePaid Leave

Key Requirements

•Deep product sense: define success metrics, translate business objectives into measurable hypotheses, and evaluate impact via A/B testing and causal inference.
•Experience with product analytics to derive actionable insights that inform product roadmaps.
•Proven ability to convert model outputs into business outcomes while communicating technical findings to cross-functional partners.
•Experience designing, training, and shipping production AI models, with depth in transformer architectures and LLMs.
•Fundamentals in attention, tokenization, embeddings, regularization, and failure mode analysis; familiarity with fine-tuning (LoRA, adapters), knowledge distillation, quantization, and instruction tuning.

Skills:CollaborationMentoringCommunicationProblem-solvingProduct thinking

Tech Stack:Transformer architecturesLLMsA/B testingCausal inferenceData pipelinesFine-tuningLoRAAdaptersKnowledge distillationQuantizationInstruction tuningTokenizationEmbeddingsRegularization

Company Brief

Wealthsimple

Wealthsimple is a Canadian fintech offering automated investing, savings, tax filing, crypto trading, and cash accounts with a focus on low-cost, user-friendly financial services for retail customers.

Industry: Wealth Management

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Headquarters: Toronto, Canada

Founded: 2014

Website LinkedIn

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Wealthsimple

2 weeks ago

Sr Data Scientist, AI Products

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: Toronto

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Lead the 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 AI features and drive product optimizations.
•Partner with Product Managers, Designers, and Engineers to translate business goals into a technical AI roadmap aligned with user needs and 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.

Pay and Benefits

Salary: CAD 151,000 - 189,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceLife InsurancePaid Leave

Key Requirements

•Deep product sense: define success metrics, translate business objectives into measurable hypotheses, and evaluate impact via A/B testing and causal inference.
•Experience with product analytics to derive actionable insights that inform product roadmaps.
•Proven ability to convert model outputs into business outcomes while communicating technical findings to cross-functional partners.
•Experience designing, training, and shipping production AI models, with depth in transformer architectures and LLMs.
•Fundamentals in attention, tokenization, embeddings, regularization, and failure mode analysis; familiarity with fine-tuning (LoRA, adapters), knowledge distillation, quantization, and instruction tuning.

Skills:CollaborationMentoringCommunicationProblem-solvingProduct thinking

Tech Stack:Transformer architecturesLLMsA/B testingCausal inferenceData pipelinesFine-tuningLoRAAdaptersKnowledge distillationQuantizationInstruction tuningTokenizationEmbeddingsRegularization

Company Brief

Wealthsimple

Industry: Wealth Management

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Headquarters: Toronto, Canada

Founded: 2014

Website LinkedIn