Posted 3 days ago
Hybrid! Data Science Developer - Senior, 7 months contract
@ Dimensional Tech Inc.
Toronto, Ontario
Overview
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.
Responsibilities:
- 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
Requirements summary:
- 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
Tools & skills
Source and dates
Source type not verified · crelate
- Employer posting date
- 2026-11-04
- First seen by our source
- 2026-11-06
- Source record updated
- 2026-11-06
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Data & analytics |
| Travel | air: none · ground: none |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Dimensional Tech Inc.
| Field | Value |
|---|---|
| Open jobs on Jobsy | 172 |
• 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.
Journal
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