Data Scientist II - AI, ML & Enterprise Analytics

Metrolinx

Toronto

In loco

CAD 110.000 - 150.000

Tempo pieno

2 giorni fa
Candidati tra i primi

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Descrizione del lavoro

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

Competenze

  • Degree in Statistics, applied math, engineering, CS or equivalent.
  • Proven data science, analytics and ML experience.
  • Proficiency in Python, SQL, PySpark and large-scale data processing.
  • Hands-on Azure Databricks, Azure ML and AI services experience.

Mansioni

  • Design, build, and maintain scalable data pipelines and analytical solutions.
  • Create, curate and validate datasets through ingestion, transformation and quality checks.
  • Develop, validate, deploy and monitor ML/AI models using diverse techniques.
  • Collaborate with stakeholders to translate business problems into data science solutions.
  • Operate ML/LLMOps pipelines with deployment, monitoring and retraining.

Conoscenze

Data science
Machine learning
Statistical analysis
Communication with stakeholders

Formazione

Bachelor's degree in Statistics/Applied Math/Engineering/CS
Master's degree or PhD asset

Strumenti

Python
SQL
PySpark
Databricks Lakehouse
Azure Data Lake Storage
Azure Machine Learning
Microsoft Fabric
LLM / Generative AI

Descrizione del lavoro

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

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