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Publié il y a 6 jours

Hybrid! Data Science Developer - Senior, 7 months contract

@ Dimensional Tech Inc.

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Toronto, Ontario

Postuler
SIGNAUX

En bref

Dimensional Tech Inc. is hiring a senior Data Science Developer for a 7-month contract in Toronto, Ontario, running from late November 2026 to May 2027. The work is onsite and involves building, tuning and validating machine learning models and end-to-end ML pipelines on Azure and Databricks. Candidates need deep statistics and machine learning expertise plus advanced Python and SQL skills.

Responsabilités :

  • Build and tune predictive machine learning models
  • Run experiments and validate model performance
  • Develop end-to-end ML pipelines on Azure
  • Operationalize models in Azure Machine Learning and Foundry

Résumé des exigences :

  • Deep expertise in statistics and machine learning
  • Advanced hands-on Python and SQL
  • Strong Azure Machine Learning and Microsoft Foundry experience
  • Experience with real-world datasets and model validation

Outils et compétences

PythonSQLPower BIVSCodeGitJiraAzure OpenAIAzure FoundryAzure ML StudioDatabricks
Source et dates

Type de source non vérifié · crelate

Date publiée par l’employeur
2026-11-04
Première détection par notre source
2026-11-06
Mise à jour du dossier source
2026-11-07

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

Détails du poste

NiveauSenior
DomaineDonnées et analytique
Déplacementsavion : aucun · route : aucun
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Postuler

Dimensional Tech Inc.

Toutes ses offres
ChampValeur
Offres sur Jobsy164
Description

• Location: Toronto, Ontario

• Duration: 2026-11-23 to 2027-05-23 ( 130 days)

• Job Type: Onsite

• Openings: 1

Requirements:

• Deep expertise in statistics, probability, predictive modelling and machine learning, including classification, regression, clustering, feature engineering, experimentation, model selection, validation, bias/variance, overfitting and statistical inference.

• Advanced hands-on proficiency in Python, SQL and ML frameworks, with demonstrated experience building, tuning and validating models using real-world datasets. Tech stack: Python, SQL, Power BI, VSCode, Git, Jira, Azure (OpenAI, Foundry and ML Studio), Databricks.

• Strong hands-on experience with Azure Machine Learning and Microsoft Foundry/Azure AI Foundry, including end-to-end ML pipelines covering experimentation, training, evaluation and operationalization.

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