Top Data Jobs in Toronto

Responsible for developing, deploying, and monitoring Data Science solutions involving Machine Learning, Deep Learning, and other AI techniques. Transform business challenges into scientific research problems, develop data-driven solutions, and collaborate with internal teams. Requires 5-7 years of experience in developing and deploying ML and DL solutions.

Responsible for developing, deploying, and monitoring Data Science solutions that involve Machine Learning, Deep Learning, and other AI techniques. Transform business challenges into scientific research problems, develop data-driven solutions, build and execute data science projects, deploy and maintain solutions, present results, protect algorithms, collaborate with teams.

Sun Life is seeking a Data Scientist to join their team and empower individuals, families, and communities worldwide. The Data Scientist will work on innovative technology, financial services, and asset management solutions to support clients in achieving lifetime financial security and living healthier lives.

Create and maintain patient records in the CRM, execute administrative tasks, ensure data integrity, liaise between team members, handle faxes, organize work schedule, label documents, cover various shifts, and perform ad hoc duties.

Responsible for driving the One Enablement team vision by establishing effective governance and management of the Data Mesh platform. Providing leadership and collaboration with key enablement teams to accelerate data insights and advance data maturity. Sharing expertise in processes, methodologies, data flows, system integrations, and data governance requirements. Working in a hybrid work arrangement with on-site and remote days.

Join Lyft as a Data Engineer to develop robust data infrastructure, design insurance data pipelines, and collaborate with internal and external teams for informed decision-making. Leverage data expertise to refine models and drive innovation.

Lead large-scale data projects, solve complex problems, deliver results that impact business, engage with stakeholders, mitigate risks, and mentor team members. Must have advanced degree in quantitative field and experience in data science.

As a Senior Data Engineer at Totango + Catalyst, you will be responsible for designing and implementing the next-generation data architecture using technologies such as Databricks, TiDB, and Kafka. This remote position in Canada and the U.S. involves driving high-impact data engineering projects, collaborating with cross-functional teams, and ensuring data quality and scalability.

Join Klick Health as an Analyst, Data Solutions to collaborate with top-tier professionals and develop cutting-edge data solutions. Drive impact by merging data solutions into client engagements and marketing sciences products.

As a Senior Data Engineer at Totango + Catalyst, you will be responsible for designing and implementing the next-generation data architecture using technologies like Databricks, TiDB, and Kafka. Responsibilities include driving high-impact data engineering projects, optimizing performance of data solutions, collaborating with stakeholders, and ensuring data quality and reliability.

Lead Data Scientist role at Sanofi in Toronto, ON. Responsible for providing technical leadership, developing AI and machine learning models, mentoring team members, and integrating solutions into project architecture. Requires a Ph.D. or Master's degree in Data Science or related field, 3-5 years of industry experience, strong programming skills in Python, and experience with big data technologies.

Maintain and improve data processes supporting Network Strategy and Spatial Analytics team. Manage data warehouse, automate processes using SAS, GIS, SQL. Identify data quality issues and provide solutions. Implement new data feeds/methods. Communicate effectively with team and partners. Qualifications include 2-3 years of experience, post-secondary degree, and proficiency in SQL, GIS, SAS, and Microsoft Office Suite.

Create and maintain patient records, execute administrative tasks, ensure data integrity, act as a liaison between team members, handle faxes, organize work schedules, label documents, cover various shifts, and perform ad hoc duties

Manage a team of data engineers working on cloud transformation, security, analytics, and data governance projects for top GCP customers. Provide leadership, technical expertise, and architectural guidance. Develop high-quality data pipelines, troubleshoot issues, and collaborate with Data Scientists on pipeline design. Mentor team members and communicate data insights effectively at senior management levels.

Work as a Senior Data Engineer at Badal by TELUS, a GCP consulting company based in Toronto. Responsibilities include working with technical leads and clients to demonstrate GCP technology benefits, designing data pipelines, solving high-scale data problems, and supporting clients in troubleshooting issues. Must have GCP experience, expertise in Dataflow or Spark, programming skills in Python, Java, or Scala, and experience with modern data architecture and GCP services. Nice to have experience with streaming technologies and data governance tools. Looking for passionate team players with strong communication skills and a client-focused mindset.

As a Senior Data Migration Engineer, you will oversee the migration of data to Google Cloud Platform, analyze data structures, design migration strategies, ensure data integrity and security, provide technical guidance, optimize processes, and document best practices. Strong technical skills in GCP services, data migration tools, database technologies, and scripting languages are required. You will also define and implement cloud-based solutions, following best practices and enterprise architecture guidelines.

Develop cloud architecture solutions, data solutions, and enterprise data models. Collaborate with cloud data engineers, analyze requirements, migrate data, and optimize data systems. Define security and backup procedures and coordinate with key stakeholders for future needs.