Назад
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4 часа назад

Lead Data Scientist (AI)

141 000 - 226 000CAD
Формат работы
remote (только Canada)
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Lead Data Scientist (AI): Leading and executing data science projects to deliver business value and data-driven insights with an accent on AI system design and governance. Focus on implementing end-to-end machine learning pipelines, designing experiments, and operationalizing models in production environments.

Location: Toronto, Canada (Remote)

Salary: $141,000 — $226,000 CAD

Company

A leading technology consultancy that helps clients solve complex business problems using technology as a differentiator.

What you will do

  • Lead data science projects from inception to completion, including scoping and on-time delivery.
  • Collaborate with stakeholders to identify opportunities for AI and machine learning.
  • Design AI systems, problem framing, and governance while managing risks and issues.
  • Implement data science strategies and design experiments to test hypotheses and assumptions.
  • Select and deploy ML models into production using quality metrics.
  • Communicate technical findings to stakeholders and promote data literacy within the organization.

Requirements

  • Experience leading analysis and modeling from inception to production deployment.
  • Expertise in statistical modeling, hypothesis testing, ML, and deep learning.
  • Specialization in at least one area: NLP, Computer Vision, or Generative AI.
  • Proficiency in Python or R with the ability to write production-ready code.
  • Experience preprocessing large volumes of structured and unstructured data.
  • Must be based in Canada (Toronto).

Nice to have

  • Experience with CD4ML practices and data versioning tools.

Culture & Benefits

  • Autonomous career paths supported by a strong cultivation culture and interactive tools.
  • Numerous professional development programs and peer support for growth.
  • Collaborative environment focused on mutual empowerment and technical excellence.
  • Strong commitment to fairness and responsible AI practices in recruitment.
  • Reasonable accommodations provided for disabilities or sincerely held religious beliefs.

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