Première détection par notre source: il y a 25 jours
Data Scientist ( Azure, Python, and SQL) - Toronto, ON
@ Source Code
Toronto, Ontario
En bref
Source Code is hiring a Data Scientist in Toronto, ON, on a fully remote one-year contract with possible extension. The role analyzes large data sets to improve product performance and customer value, builds predictive models, and works with product and business stakeholders.
Responsabilités :
- Build predictive models to optimize customer experiences
- Prototype models and data-driven ideas with the Product Manager
- Automate and productionalize data science processes in the cloud
- Clean and enrich data for usability
- Monitor machine learning model performance and accuracy
Résumé des exigences :
- 4+ years as a Data Scientist, Data Engineer or ML Engineer
- Extensive Azure experience
- Expert Python and SQL skills
- Experience training and maintaining ML models
- University degree in a STEM field
Outils et compétences
Source et dates
Type de source non vérifié · manatal
- Date publiée par l’employeur
- Non fourni
- Première détection par notre source
- 2026-10-12
- Mise à jour du dossier source
- 2026-10-12
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Intermédiaire |
| Domaine | Développement logiciel |
| Expérience | 4 an(s) et plus |
| Déplacements | avion : aucun · route : aucun |
| Milieu de travail | Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Formation | Baccalauréat (exigé) |
| Domaines d’études | STEM |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Source Code
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 655 |
Data Scientist ( Azure, Python, and SQL)
Toronto, ON. Fully Remote
1-year contract (with the possibility of extension)
The ideal candidate is comfortable working with analyzing large data sets to find opportunities to improve product performance and increase value to customers. In order to do that, it's important that this person knows how to communicate well with all levels of the organization, ranging from peer Data Scientists to business stakeholders. They must have a proven ability to drive business results and comfortable communicating recommendations and findings to a business audience. The right candidate will have a passion for growing their data science acumen.
Responsibilities:
- Use predictive modeling to increase and optimize customer experiences
- Marketplace focused on ICO domain.
- Work with the Product Manager to prototype new ideas, models, and ways of leveraging lots of data points to improve business outcomes.
- Utilize appropriate cloud resources based on project demands and data workloads needs to automate and productionalize data science processes.
- Develop enrichment processes and procedures to improve the cleanliness, usability and understanding of data.
- Proactively monitor existing Machine Learning models, their performance, output, and accuracy.
- Management of large-scale data processing system for preparing structured and unstructured data for analytic modelling.
- Work along with Support Teams to troubleshoot and identify customer-reported issues.
Must-Haves:
- 4+ years experience as a Data Scientist, Data Engineer, Machine Learning Engineer or a simular position
- Extensive experience with Azure
- Expert level in Python and SQL querying skills
- Experience with training and maintaining ML models
- University degree in STEM field
Nice-To-Haves:
- Experience with pricing estimations and insights
- Automotive services experience
- E-commerce industry experience
Journal
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