Data Scientist II in Toronto

Data Scientist II in Toronto

Toronto Full-Time 121500 - 148500 $ / year (est.) On-site
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At a Glance

  • Tasks: Analyze data, develop ML models, and build data pipelines for impactful insights.
  • Company: Join Metrolinx, a leader in innovation and enterprise analytics.
  • Benefits: Competitive salary, health benefits, and opportunities for continuous learning.
  • Other info: Be part of a dynamic team focused on innovation and improvement.
  • Why this job: Work with cutting-edge AI technologies and drive meaningful change.
  • Qualifications: Experience in data science, machine learning, and collaboration skills.

The predicted salary is between 121500 - 148500 $ per year.

Metrolinx is seeking a Data Scientist to partner with business stakeholders and technical teams to analyze data, develop ML models, build data pipelines, and generate insights that support strategic and operational decision-making. This role offers the opportunity to work with modern data and AI technologies while contributing to enterprise-wide innovation and continuous improvement.

The Enterprise AI & Data Centre of Excellence (CoE) within I&IT delivers trusted data, analytics, and AI.

Data Scientist II in Toronto employer: Metrolinx

Metrolinx is an exceptional employer dedicated to connecting communities across the Greater Golden Horseshoe, offering a dynamic work environment that values equity, diversity, and inclusion. As a Fault Control Signals Specialist, you will benefit from comprehensive training opportunities, a supportive team culture, and the chance to contribute to significant transit projects that enhance the lives of many. With a commitment to employee growth and a focus on safety and innovation, Metrolinx provides a rewarding career path in the heart of Ontario's transit system.

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Contact Details:

Metrolinx Recruitment Team

We think you need these skills to ace Data Scientist II in Toronto

Data Analysis
Machine Learning (ML)
Data Pipeline Development
AI Technologies
Collaboration with Business Stakeholders
Technical Team Partnership
Strategic Decision-Making Support