Назад
Company hidden
1 месяц назад

Lead Data Scientist (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Lead Data Scientist (AI): Guiding client decisions across AI, analytics, data engineering, and data strategy while building end-to-end data pipelines and scalable data products with an accent on experimental design, recommender systems, machine learning, and production-quality dashboards. Focus on solving complex cross-domain business problems, delivering measurable impact through analysis and data products, and leading high-performance data science teams.

Location: Toronto, Canada

Company

hirify.global is a Toronto-based consulting firm serving startups and Fortune 500 companies with engineering, data, and analytics capabilities.

What you will do

  • Partner with client executive and technical teams to guide decisions across AI, analytics, data engineering, and data strategy.
  • Identify and champion projects that solve complex problems across multiple business domains.
  • Apply experimental design, recommender systems, machine learning, and fundamental data science methods to improve client businesses.
  • Design and implement end-to-end data pipelines, including models, tables, schemas, and ETL solutions.
  • Build actionable KPIs, production-quality dashboards, analytical deep dives, and scalable data products.
  • Provide technical leadership and mentor internal and client-facing teams.

Requirements

  • Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, Statistics, or a related field.
  • 3–7 years of commercial data science experience solving high-impact business problems.
  • At least 1 year leading and maintaining high-performance data science teams.
  • Extensive Python experience with strong object-oriented programming fundamentals.
  • Experience with data pipelines, ETL design, data products, and business-impact analysis.
  • Working knowledge of Snowflake and the ability to communicate with technical and non-technical audiences.

Nice to have

  • DevOps experience.
  • Experience creating data product strategies, launching products, and iterating after release.

Culture & Benefits

  • Competitive compensation.
  • Opportunities to work on projects aligned with individual interests and skills.
  • Accountability-focused environment without micromanagement.
  • Collaboration with engineers and data scientists from major technology companies.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →