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Posted 7 days ago

Data Science Developer - Senior/Senior Data Scientist / ML Engineer

@ ThoughtStorm

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Toronto, Ontario

Contract
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SIGNALS

Requirements summary:

  • Required Skill Set:
  • Strong hands-on experience in Data Science, Advanced Analytics, Predictive Modelling, and Machine Learning.
  • Hands-on experience with Feature Engineering, Model Training, Hyperparameter Tuning, Model Selection, and Validation.
  • Strong practical experience with Azure Machine Learning (Azure ML), Azure ML Studio, and end-to-end ML pipelines.
  • Hands-on experience with Microsoft Azure AI Foundry / Microsoft Foundry and Azure OpenAI .
  • Experience with Azure Databricks, MLflow, and machine learning experimentation and operationalization.
Source and dates

Source type not verified · apify-linkedin

Employer posting date
2026-11-03
First seen by our source
2026-11-10
Source record updated
2026-11-10

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

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ThoughtStorm

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FieldValue
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Job description

Required Skill Set:

  • Strong hands-on experience in Data Science, Advanced Analytics, Predictive Modelling, and Machine Learning.
  • Advanced proficiency in Python and SQL for data analysis, model development, and processing real-world datasets.
  • Deep understanding of Statistics, Probability, Regression, Classification, Clustering, and Hypothesis Testing.
  • Hands-on experience with Feature Engineering, Model Training, Hyperparameter Tuning, Model Selection, and Validation.
  • Strong practical experience with Azure Machine Learning (Azure ML), Azure ML Studio, and end-to-end ML pipelines.
  • Hands-on experience with Microsoft Azure AI Foundry / Microsoft Foundry and Azure OpenAI.
  • Experience with Azure Databricks, MLflow, and machine learning experimentation and operationalization.
  • Strong knowledge of Model Performance Evaluation, Bias-Variance, Overfitting, and Predictive Model Optimization.
  • Ability to translate business requirements into analytical solutions, develop PoCs, and communicate actionable insights to stakeholders.

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