Senior Data Scientist — ML Pipelines (Hybrid, Toronto)

Randstad Canada

Toronto

Hybrid

CAD 129,000 - 203,000

Full time

2 days ago
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Job summary

Randstad Canada is seeking a Senior Data Science Developer to lead the development of advanced analytics, predictive models, and ML solutions addressing enterprise opportunities. You will work across the Azure Data & AI ecosystem and Databricks, designing end-to-end ML pipelines from experimentation to production, partnering with data engineers, architects, and cross-functional teams to deliver actionable insights.

Location: Toronto, ON (Hybrid - 3 days onsite). Duration: 6-month contract.

Qualifications

  • Deep expertise in statistics, probability, predictive modeling, and machine learning.
  • Proficiency in Python, SQL, and core ML frameworks with enterprise data experience.
  • Hands-on with Azure ML Studio, Databricks, and Azure AI Foundry.
  • Ability to translate business problems into analytical solutions and define measurable KPIs.

Responsibilities

  • Design, train, and validate advanced predictive models and ML solutions.
  • Translate business problems into analytical approaches with clear hypotheses and metrics.
  • Conduct exploratory data analysis to uncover trends and insights across data sources.
  • Build and evaluate ML models (classification, regression, clustering) and address bias/variance.

Skills

Statistics
Machine learning
Python
SQL
Data analysis
Model evaluation

Education

Data Science degree

Tools

Python
SQL
Power BI
VS Code
Git
Jira
Azure
Databricks
OpenAI Foundry

Job description

Randstad Canada is seeking a Senior Data Science Developer to lead the development of advanced analytics, predictive models, and ML solutions addressing enterprise opportunities. You will work across the Azure Data & AI ecosystem and Databricks, designing end-to-end ML pipelines from experimentation to production, partnering with data engineers, architects, and cross-functional teams to deliver actionable insights.

Location: Toronto, ON (Hybrid - 3 days onsite). Duration: 6-month contract.

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