Publié il y a 2 mois
Senior Data Scientist – Machine Learning, Python, SQL & Azure
@ Astra North Infoteck Inc.
Toronto, Ontario
En bref
Astra North Infoteck Inc. is hiring a Senior Data Scientist to support its AI CoE's machine learning and data science initiatives. The role builds end-to-end data science solutions, from exploration and feature engineering to model validation and insight communication.
Responsabilités :
- Build and evaluate regression and classification models
- Perform data exploration, preparation and feature engineering
- Develop, validate and interpret predictive models and forecasts
- Run experiments and A/B tests
- Communicate model outputs and insights to business partners
Résumé des exigences :
- Expert knowledge of SQL and Python
- Experience in applied machine learning and statistical modeling
- Hands-on predictive modeling and experimentation experience
- Experience with Azure, Azure ML, Databricks or MLflow is an asset
- Visualization tool experience (Tableau, Power BI) is useful
Outils et compétences
Source et dates
Type de source non vérifié · zoho
- Date publiée par l’employeur
- 2026-08-30
- Première détection par notre source
- 2026-10-11
- Mise à jour du dossier source
- 2026-10-11
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Données et analytique |
| Déplacements | avion : aucun · route : aucun |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Astra North Infoteck Inc.
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 426 |
Senior Data Scientist – Machine Learning, Python & SQL
Skills and Responsibilities:
• Build and evaluate models (regression, classification, etc.)
• We are looking for an experienced Senior Data Scientist to support the AI CoE’s Machine Learning and Data Science initiatives.
• The ideal candidate will have strong applied machine learning, statistical modeling, analytics, and analytical problem-solving experience, with the ability to translate business problems into practical data science solutions.
• They should have expert knowledge of SQL and Python, along with hands-on experience in predictive modeling, forecasting, classification, regression, experimentation, A/B testing, feature engineering, model evaluation, and insights generation.
• This is a highly analytical and hands-on role focused on delivering end-to-end data science solutions, including data exploration, data preparation, feature engineering, model development, validation, interpretation, and communication of insights.
• Experience with visualization tools such as Tableau, Power BI, or similar platforms is useful, particularly for communicating model outputs, trends, and actionable insights.
• Experience working in cloud-based data science environments, including Azure, Azure ML, Databricks, MLflow, and related cloud technologies, would be considered an asset.
• Experience with use cases such as churn prediction, member personalization, recommendation systems, marketing optimization, anomaly detection, and experimentation frameworks would be valuable.
• In addition to technical depth, we are looking for someone who can work independently, collaborate effectively with data scientists, ML engineers, data engineers, and business partners, and help accelerate the delivery of enterprise AI and analytics solutions from exploration through production readiness.
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