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4 дня назад

Senior Manager Data Science

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
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

Senior Manager Data Science (AI): Lead development and delivery of AI-driven product capabilities focused on scalable machine learning systems, predictive analytics, and real-time data processing. Focus on designing, building, and deploying reliable AI solutions integrated into enterprise mobility management platforms, with emphasis on team leadership and pragmatic AI applications.

Location: Must be based in Canada (Mississauga) with hybrid work model

Company

hirify.global is a leading provider of mobile and IoT management solutions serving over 17,000 enterprise customers worldwide, committed to innovation and secure mobility management.

What you will do

  • Lead design, development, and deployment of AI and machine learning systems with scalable pipelines for inference, analytics, and real-time processing.
  • Collaborate with product, development, and business teams to solve product challenges using data-driven models focused on user behavior and operational improvements.
  • Oversee prototyping, experimentation, and iteration to validate AI solutions and translate data insights into product recommendations.
  • Establish best practices for AI operations including data quality, model monitoring, and cross-team collaboration.
  • Build and mentor a high-performing team of data scientists and developers fostering innovation and product-oriented thinking.
  • Contribute directly to code and system architecture ensuring production-ready AI solutions integrated with cloud tools.

Requirements

  • Must be located in Canada (Mississauga) with hybrid work model
  • Advanced degree or equivalent experience in computer science, data science, statistics, or related field.
  • 8+ years experience in data science, machine learning engineering, or applied AI roles with production AI feature delivery.
  • 4+ years managing and mentoring data science and ML engineering teams.
  • Strong programming skills in Python, SQL, and cloud environments (AWS, Azure).
  • Expertise in pragmatic AI applications such as machine learning, time-series analysis, anomaly detection, and predictive analytics.

Culture & Benefits

  • Company culture emphasizing personal growth, continuous innovation, and fun.
  • Fast-paced environment with global reach encouraging impact and new ideas.
  • Opportunity to work with leading-edge technologies and collaborate with tech giants.
  • Commitment to accessible employment practices and equal opportunity workplace.

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