Sr Director, Data Science & Machine Learning

ZeroAOG

Toronto, ON, Canada
Base: $247,000 - $370,400 cad; bonus/equity: eligi...
Fully remote
Generative ai production deployment
Agentic ai and llm orchestration
Data science and machine learning leadership
The role involves leading a team of over 15 professionals across data science, engineering, and operations to drive AI initiatives aligned with business goals

Job Summary

  • The role involves leading a team of over 15 professionals across data science, engineering, and operations to drive AI initiatives aligned with business goals.
  • Workday offers a flexible work approach combining remote and in-person time to foster strong community connections and productivity.
  • The company culture emphasizes integrity, empathy, shared enthusiasm, and providing employees with trust, tools, and support for long-term growth.

Matching Summary

The role involves leading a team of over 15 professionals across data science, engineering, and operations to drive AI initiatives aligned with business goals.

Salary

Base: $247,000 - $370,400 CAD; Bonus/Equity: Eligible for bonus and stock grants; Benefits: Comprehensive benefits package

Skills & Requirements

Must-have

  • Generative AI production deployment
  • Agentic AI and LLM orchestration
  • Data science and machine learning leadership
  • MLOps including drift detection and cost management
  • Experience with Snowflake and Databricks
  • Use of Hugging Face and Anthropic Claude
  • Integration of ML models with APIs

Nice-to-have

  • Curious and courageous collaborator
  • Empathy and integrity driven culture
  • Flexible hybrid work environment
  • Innovation and rapid prototyping mindset
  • Bilingual technical and business communication

Key Requirements

  • 10+ years professional experience in Data Science and AI
  • 5+ years senior leadership experience
  • Master’s or PhD in Computer Science or related quantitative field
  • Experience moving Generative AI models to production
  • Deep knowledge of prompt engineering and agentic orchestration
  • Experience with modern data stacks and MLOps challenges

Work Rights

Not specified

Tailored Resume

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