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Postuler

Publié il y a 7 jours

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

@ ThoughtStorm

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Toronto, Ontario

Contrat
Postuler
SIGNAUX

Résumé des exigences :

  • 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 et dates

Type de source non vérifié · apify-linkedin

Date publiée par l’employeur
2026-11-03
Première détection par notre source
2026-11-10
Mise à jour du dossier source
2026-11-10

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Postuler

ThoughtStorm

Toutes ses offres
ChampValeur
Offres sur Jobsy9
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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