Data Scientist

Raise; Toronto; Hybrid; CAD 90,000 - 135,000; Full time

Job summary

Raise is actively seeking a Data Scientist to join a client-focused team in Toronto. The role emphasizes delivering data-driven solutions and predictive analytics using Azure Databricks, Synapse, and Spark to optimize business outcomes.

You will build and deploy AI/ML models, design ETL/ELT processes, and create dashboards with Power BI, enabling stakeholders to make informed decisions in a hybrid work environment.

Qualifications

• 5+ years of data science, ML, and advanced analytics experience.
• Proficient with SQL and Python; strong data modelling skills.
• Hands-on experience with Azure cloud services and data platforms.

Responsibilities

• Collaborate with cross-functional teams to translate business needs into data-driven solutions.
• Develop and deploy ML models in Azure ML and AML.
• Create dashboards and reports in Power BI to enable data-informed decisions.

Skills

Data science

Machine learning

Azure Synapse

Azure Databricks

SQL

Python

Power BI

Tools

Apache Spark

Azure Databricks

Power BI

Azure Synapse

Job description

Data Scientist

• Pay Rate: Flexible- 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/