4 месяца назад
Director, Data Science/ML (Ecommerce)
210 000 - 250 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Director, Data Science/ML (Ecommerce): Driving the next phase of product innovation through advanced machine learning and predictive analytics with an accent on personalization, recommendation systems, and experimentation frameworks. Focus on building and leading a high-performing team to deliver scalable ML solutions that directly impact customer engagement, retention, and lifetime value.
Location: Must be based in Toronto, Ontario, Canada
Compensation: $210,000 – $250,000 CAD
Company
is a chef-to-consumer marketplace platform dedicated to empowering chefs and delivering fresh, ready-to-eat meals to homes nationwide.
What you will do
- Define and execute the product data science strategy to unlock improvements in customer experience and business outcomes.
- Build, mentor, and scale a high-performing product data science team.
- Own the end-to-end ML lifecycle, from problem framing and model training to deployment and monitoring.
- Partner with Product, Growth, and Engineering leadership to influence the product roadmap using data-driven insights.
- Evolve personalization and recommendation systems to drive engagement across the customer journey.
- Design robust experimentation frameworks to enable rapid, high-quality product testing and learning.
Requirements
- 10+ years of experience in data science, with at least 5 years in leadership roles.
- Proven track record of building and deploying ML models in production.
- Deep expertise in experimentation, A/B testing, and causal inference.
- Strong technical proficiency in Python, SQL, and modern ML frameworks (PyTorch, TensorFlow, scikit-learn).
- Experience with cloud-based data infrastructure (AWS, GCP, Snowflake) and MLOps tools.
- Must be based in or able to work from Toronto, Ontario.
Nice to have
- PhD or Master's degree in a quantitative field.
- Experience with real-time ML systems, feature stores, or generative AI/LLM applications.
- Background in subscription-based businesses or marketplace products.
- Familiarity with product analytics tools like Amplitude or MixPanel.
Culture & Benefits
- Comprehensive health insurance coverage via Canada Life.
- Stock Options Plan granted on Day 1.
- Bi-annual performance bonus eligibility.
- Flexible Paid Time Off and 5-year paid sabbatical program.
- Generous monthly meal credits.
- AI-forward workplace with enterprise access to ChatGPT and Claude.
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