Data Scientist Pay Rate: Adaptable- Hybrid
Location: Toronto, Ontario
Contract Length: 12 Months
We at Raise are hiring right now for one of our Clients. If you’re interested, apply below for your chance to join a great place to work.
Responsibilities Reporting to the supervisor, the Data Scientist will be responsible for collaborating with cross-functional teams to identify business needs and implementing data-driven solutions, analyzing complex data models, developing and deploying machine learning models for predictive analytics including the transformation of large datasets using Azure Databricks and Apache Spark, creating data visualizations and dashboards using Power BI or similar tools.
The ideal candidate will have hands‑on expertise in Azure Synapse and Azure Databricks environments, ensuring the efficient processing, analysis, and interpretation of complex datasets to drive data-informed decision‑making.
Scope of work includes the following Collaborate with cross-functional teams to identify business needs and implement data-driven solutions
Build, maintain, and optimize ETL pipelines
Process and transform large datasets using Azure Databricks and Apache Spark
Design, develop, and implement AI/ML models and advanced data analytics solutions
Develop and deploy machine learning models for predictive analytics
Work with large-scale data processing frameworks using Azure Databricks and Spark
Conduct exploratory data analysis, feature engineering, and predictive modelling
Create data visualizations and dashboards using Power BI or similar tools
Ensure best practices in data governance, model performance, and scalable architecture
Stay up to date with the latest advancements in AI/ML and cloud-based analytics




Other project duties as assigned
Deliverables Detailed technical design and functional specifications
Completed system components 'unit tested' and ready for System, QA and User Acceptance testing
Technical support during the various stages of testing (system integration, QA, User Acceptance)
Implementation preparation
Technical documentation
Presentation decks
Post implementation support
Status Reports
Skills and Certifications Mandatory Skills and Experience 5+ years of experience in data science, machine learning and advanced analytics
5+ years of experience with Azure SQL Server, Synapse and Databricks
5+ years of experience with SQL and Python
Building and deploying AI/ML models in Azure Machine Learning (AML) Azure Open AI and other Azure services
Developing reports with Power BI or other visualization tools
Technical Skills Proficiency in Azure Synapse and Azure Databricks tools and environments
Solid understanding of data lake architecture and data warehousing principles
Strong understanding of data modelling, ETL pipelines and big data solutions
Strong programming skills in SQL and Python
Expertise in Apache Spark and big data processing
Expertise with structured and unstructured data sources
Building and deploying AI/ML models in Azure Machine Learning (AML) services
Expertise with Power BI or other visualization tools for reporting




Analytical Skills Proven ability to derive actionable insights from complex datasets
Experience with statistical analysis, predictive modelling, and machine learning techniques
Advanced knowledge of SQL for data manipulation and querying
Experience with visualization tools like Power BI for reporting
Soft Skills Excellent communication and collaboration abilities
Adaptability to learn and implement new technologies
Strong problem-solving and critical thinking skills
Substantial knowledge of cloud computing & data virtualization
Experience in initiatives involving IT solutions and multiple stakeholders
Understanding of the Ontario Human Rights Code (OHRC) and the Accessibility for Ontarians with Disabilities Act (AODA)
Certifications Microsoft Certified: Azure Data Engineer Associate (desirable)
Microsoft Certified: Azure AI Engineer Associate (desirable)
Looking for meaningful work? We can help! Raise is an established hiring firm with over 65 years of experience. We believe strongly in making the world a better place through work, which is why we’re a certified B Corporation and donate 10% of our profits to charity.
We strive to build teams that reflect the diversity of the communities we work in. We encourage all qualified applicants to apply, including people from traditionally underrepresented groups such as women, visible minorities, Indigenous peoples, people identifying as LGBTQ2SI, veterans, and people with visible/nonvisible disabilities.
We have a dedicated webpage for accommodations where you can learn more about what we offer, and request accommodation: https://raise.jobs/accommodations/

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📌 Data Scientist (Ontario)
🏢 Raise
📍 Ontario