We are seeking a versatile Senior Data Science Developer to build, scale, and automate an enhanced data and analytics foundation. In this dual-function role, you will bridge data engineering and advanced data science, designing automated end-to-end data pipelines while integrating machine learning and artificial intelligence techniques. Working within a modern cloud ecosystem, you will architect Lakehouse structures, construct robust data pipelines, implement predictive analytic models, and build high-impact visualizations to drive data-informed decision support.
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Location: Toronto, ON (Hybrid – 2 days onsite)
Duration: 6-month contract
Public Sector Experience: Required.
Advantages
Dual-Track Impact: Combine data engineering pipeline development with advanced data science and ML/AI modeling.
Modern Azure Stack: Work hands-on with Azure Databricks Lakehouse, Azure Data Factory, Azure Synapse, Python, and Power BI.
Hybrid Flexibility: Enjoy a balanced work model with 2 days per week onsite in Toronto.
End-to-End Ownership: Drive projects from initial ingestion and Lakehouse structuring through to AI modeling and visualization.
Responsibilities
Architect, design, and code cloud-based data and analytics products in collaboration with cross-functional product teams.
Design, create, and maintain cloud-based data lake and Lakehouse structures utilizing medallion architecture standards.
Build and automate enterprise data pipelines using Python, SQL, Azure Data Factory, and Azure Databricks for ETL and data ingestion workflows.
Identify, prioritize, and integrate advanced AI techniques—including machine learning, natural language processing (NLP), forecasting, and scenario analysis—into analytics products.
Build, deploy, and maintain standardized predictive analytic models and interactive Power BI dashboards.
Assess technical requirements, troubleshoot complex multi-component pipeline failures, and optimize system performance across the cloud stack.
Author technical documentation, methods guides, and conduct knowledge transfer sessions to sustain pipeline capabilities long-term.
Qualifications
Cloud Platform & Analytics Experience: Extensive experience with multiple cloud-based data platforms and programming tools to build, operate, and maintain analytics products (Strictly Required).
Lakehouse & Medallion Architecture: Proven experience designing, building, and maintaining cloud data lake/Lakehouse structures, automated pipelines, medallion architecture, and data visualizations (Strictly Required).
Modern Azure Tech Stack: Deep hands-on experience with Azure Storage, Azure Data Lake, Azure Databricks Lakehouse, Azure Synapse, Power BI, Python, SQL, and Azure Data Factory (Strictly Required).
Dual Engineering & Data Science Scope: Proven ability to cover both core data engineering/pipeline tasks and advanced data science specialist deliverables (ML/NLP/forecasting) (Strictly Required).
Problem-Solving & Needs Assessment: Demonstrated background evaluating technical needs and resolving complex, multi-component platform failures (Strictly Required).
Public Sector Expertise: Prior experience working within public sector IT environments (Strictly Required).
Knowledge Transfer: Practical experience creating technical documentation and delivering structured knowledge transfer to technical staff.
Summary
If you're interested in the "Senior Data Science Developer" role based in Toronto, we encourage you to apply online at www.randstad.ca.
Only qualified candidates will be contacted for the next steps. We look forward to hearing from you!
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
This posting is for existing and upcoming vacancies.
show more
We are seeking a versatile Senior Data Science Developer to build, scale, and automate an enhanced data and analytics foundation. In this dual-function role, you will bridge data engineering and advanced data science, designing automated end-to-end data pipelines while integrating machine learning and artificial intelligence techniques. Working within a modern cloud ecosystem, you will architect Lakehouse structures, construct robust data pipelines, implement predictive analytic models, and build high-impact visualizations to drive data-informed decision support.
Location: Toronto, ON (Hybrid – 2 days onsite)
Duration: 6-month contract
Public Sector Experience: Required.
Advantages
Dual-Track Impact: Combine data engineering pipeline development with advanced data science and ML/AI modeling.
Modern Azure Stack: Work hands-on with Azure Databricks Lakehouse, Azure Data Factory, Azure Synapse, Python, and Power BI.
Hybrid Flexibility: Enjoy a balanced work model with 2 days per week onsite in Toronto.
End-to-End Ownership: Drive projects from initial ingestion and Lakehouse structuring through to AI modeling and visualization.
...
Responsibilities
Architect, design, and code cloud-based data and analytics products in collaboration with cross-functional product teams.
Design, create, and maintain cloud-based data lake and Lakehouse structures utilizing medallion architecture standards.
Build and automate enterprise data pipelines using Python, SQL, Azure Data Factory, and Azure Databricks for ETL and data ingestion workflows.
Identify, prioritize, and integrate advanced AI techniques—including machine learning, natural language processing (NLP), forecasting, and scenario analysis—into analytics products.
Build, deploy, and maintain standardized predictive analytic models and interactive Power BI dashboards.
Assess technical requirements, troubleshoot complex multi-component pipeline failures, and optimize system performance across the cloud stack.
Author technical documentation, methods guides, and conduct knowledge transfer sessions to sustain pipeline capabilities long-term.
Qualifications
Cloud Platform & Analytics Experience: Extensive experience with multiple cloud-based data platforms and programming tools to build, operate, and maintain analytics products (Strictly Required).
Lakehouse & Medallion Architecture: Proven experience designing, building, and maintaining cloud data lake/Lakehouse structures, automated pipelines, medallion architecture, and data visualizations (Strictly Required).
Modern Azure Tech Stack: Deep hands-on experience with Azure Storage, Azure Data Lake, Azure Databricks Lakehouse, Azure Synapse, Power BI, Python, SQL, and Azure Data Factory (Strictly Required).
Dual Engineering & Data Science Scope: Proven ability to cover both core data engineering/pipeline tasks and advanced data science specialist deliverables (ML/NLP/forecasting) (Strictly Required).
Problem-Solving & Needs Assessment: Demonstrated background evaluating technical needs and resolving complex, multi-component platform failures (Strictly Required).
Public Sector Expertise: Prior experience working within public sector IT environments (Strictly Required).
Knowledge Transfer: Practical experience creating technical documentation and delivering structured knowledge transfer to technical staff.
Summary
If you're interested in the "Senior Data Science Developer" role based in Toronto, we encourage you to apply online at www.randstad.ca.
Only qualified candidates will be contacted for the next steps. We look forward to hearing from you!
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
This posting is for existing and upcoming vacancies.
show more
