Senior Data Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Data Scientist (AI): Building and scaling measurement products including MMM, Incrementality, and Recommendation Systems with an accent on translating causal inference methodologies into production-grade systems. Focus on operational ownership, debugging full-stack data issues, and balancing statistical rigor with implementation scalability.
Location: Must be based in Canada
Salary: $170,000–$200,000 USD
Company
is an advanced marketing intelligence platform providing eCommerce brands with unified business data through attribution modeling and customizable dashboards.
What you will do
- Build, deploy, and maintain production systems powering measurement products.
- Translate statistical and causal inference methodologies into scalable customer-facing capabilities.
- Improve accuracy, reliability, and operational robustness of measurement systems.
- Debug data, modeling, and production issues across the full stack.
- Evaluate methodological improvements balancing rigor, complexity, and business value.
- Partner with Engineering, Product, and Customer Success to enhance product quality.
Requirements
- Must be based in Canada
- 5+ years of experience building and deploying data science, machine learning, or AI systems in production.
- Strong foundation in statistics, machine learning, and causal inference.
- Ability to write production-quality, maintainable, and testable code.
- Experience owning projects end-to-end from problem definition to operational support.
- Strong communication skills for explaining technical concepts to diverse audiences.
Culture & Benefits
- Equity package included.
- Comprehensive healthcare benefits (medical, dental, vision).
- 401(k) plan.
- Flexible PTO policy and 12 company-paid holidays.
- 12 weeks of paid parental leave.
- $500 work-from-home stipend.
Hiring process
- Initial 30-minute recruiter interview.
- Video interview with the hiring manager.
- Role-specific video interview.
- Video or onsite interviews with team members.
- Final video interview with the CEO/Co-founder.
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