détails d'emploi
We are seeking a highly experienced Senior Data Scientist to lead the development and implementation of AI-powered analytics solutions for a 36-month engagement. This role is central to enhancing predictive capabilities and optimizing operational decision-making within a transit and services context. You will leverage Azure Databricks, Apache Spark, and Azure Open AI to extract actionable insights from large-scale datasets, ensuring a seamless and efficient user experience.
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Duration: 36-month contract (Immediate start)
Location: Toronto (Hybrid – Minimum 2 days onsite per week)
Rate: $57.46-$-67.04/hr
Advantages
Project Longevity: A 36-month term offers exceptional stability and the opportunity to see complex AI initiatives from conception to long-term implementation.
Modern AI Stack: Gain extensive experience working with the latest Azure Open AI and Databricks features in a production environment.
Strategic Influence: Directly impact operational efficiency and transit experiences through high-visibility predictive modeling.
Professional Growth: Collaborate with multi-disciplinary teams and multiple stakeholders in a mature cloud computing and data virtualization ecosystem.
Responsibilities
AI/ML Development: Design, develop, and deploy machine learning models for predictive analytics, demand forecasting, and service reliability using Azure Machine Learning (AML) and Azure Open AI.
Big Data Processing: Transform and process large-scale structured and unstructured datasets utilizing Azure Databricks and Apache Spark.
Pipeline Optimization: Build, maintain, and optimize robust ETL pipelines within a data lake and data warehousing environment.
Advanced Analytics: Conduct exploratory data analysis (EDA), feature engineering, and statistical modeling to derive insights from complex data models.
Data Visualization: Create high-impact dashboards and reports using Power BI to communicate findings to stakeholders and support data-informed decision-making.
Collaboration & Governance: Partner with cross-functional teams to identify business needs while ensuring best practices in data governance, model performance, and scalable architecture.
Technical Documentation: Produce detailed technical designs, functional specifications, and status reports throughout the project lifecycle.
Qualifications
Experience: 5+ years of dedicated experience in Data Science, Machine Learning, and advanced analytics.
Azure Mastery: 5+ years of hands-on experience with Azure SQL Server, Azure Synapse, and Azure Databricks.
Programming: 5+ years of proficiency in SQL and Python, with expert-level skills in Apache Spark for big data processing.
Cloud AI: Proven track record of building and deploying models in Azure Machine Learning and leveraging Azure Open AI services.
Visualization: Expertise in Power BI or similar tools for executive-level reporting and data storytelling.
Architecture Knowledge: Solid understanding of data lake architecture, data modeling, and big data solution principles.
Compliance & Soft Skills: Strong problem-solving abilities and familiarity with AODA and the Ontario Human Rights Code (OHRC).
Certifications (Desirable): Azure Data Engineer Associate or Azure AI Engineer Associate.
Summary
If you are a seasoned Data Scientist with a passion for building scalable AI solutions on the Azure platform, 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.
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We are seeking a highly experienced Senior Data Scientist to lead the development and implementation of AI-powered analytics solutions for a 36-month engagement. This role is central to enhancing predictive capabilities and optimizing operational decision-making within a transit and services context. You will leverage Azure Databricks, Apache Spark, and Azure Open AI to extract actionable insights from large-scale datasets, ensuring a seamless and efficient user experience.
Duration: 36-month contract (Immediate start)
Location: Toronto (Hybrid – Minimum 2 days onsite per week)
Rate: $57.46-$-67.04/hr
Advantages
Project Longevity: A 36-month term offers exceptional stability and the opportunity to see complex AI initiatives from conception to long-term implementation.
Modern AI Stack: Gain extensive experience working with the latest Azure Open AI and Databricks features in a production environment.
Strategic Influence: Directly impact operational efficiency and transit experiences through high-visibility predictive modeling.
Professional Growth: Collaborate with multi-disciplinary teams and multiple stakeholders in a mature cloud computing and data virtualization ecosystem.
...
Responsibilities
AI/ML Development: Design, develop, and deploy machine learning models for predictive analytics, demand forecasting, and service reliability using Azure Machine Learning (AML) and Azure Open AI.
Big Data Processing: Transform and process large-scale structured and unstructured datasets utilizing Azure Databricks and Apache Spark.
Pipeline Optimization: Build, maintain, and optimize robust ETL pipelines within a data lake and data warehousing environment.
Advanced Analytics: Conduct exploratory data analysis (EDA), feature engineering, and statistical modeling to derive insights from complex data models.
Data Visualization: Create high-impact dashboards and reports using Power BI to communicate findings to stakeholders and support data-informed decision-making.
Collaboration & Governance: Partner with cross-functional teams to identify business needs while ensuring best practices in data governance, model performance, and scalable architecture.
Technical Documentation: Produce detailed technical designs, functional specifications, and status reports throughout the project lifecycle.
Qualifications
Experience: 5+ years of dedicated experience in Data Science, Machine Learning, and advanced analytics.
Azure Mastery: 5+ years of hands-on experience with Azure SQL Server, Azure Synapse, and Azure Databricks.
Programming: 5+ years of proficiency in SQL and Python, with expert-level skills in Apache Spark for big data processing.
Cloud AI: Proven track record of building and deploying models in Azure Machine Learning and leveraging Azure Open AI services.
Visualization: Expertise in Power BI or similar tools for executive-level reporting and data storytelling.
Architecture Knowledge: Solid understanding of data lake architecture, data modeling, and big data solution principles.
Compliance & Soft Skills: Strong problem-solving abilities and familiarity with AODA and the Ontario Human Rights Code (OHRC).
Certifications (Desirable): Azure Data Engineer Associate or Azure AI Engineer Associate.
Summary
If you are a seasoned Data Scientist with a passion for building scalable AI solutions on the Azure platform, 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.
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