Top Data Jobs in Toronto

As a Data Architect, you'll design end-to-end data architectures, lead strategy and direction for scalable data ecosystems, and collaborate with teams for data-driven solutions.

Lead the development of advanced AI and machine learning models, mentor junior data scientists, and set strategy and direction for the Data Science team.

Design and implement data architectures, lead technical strategy, ensure collaboration with stakeholders, and optimize data processes while mentoring engineers.

The Senior Data Scientist will lead advanced data analysis, develop AI applications, manage model lifecycles, and collaborate with cross-functional teams to drive strategic insights in a remote setup.

As a Senior Data Analyst, you'll leverage various data sets to deliver insights, collaborate with product managers, mentor team members, and shape commercial strategies for enterprise customers.

As a Senior Data Engineer, you will design and operate data systems, mentor engineers, and optimize data pipelines using cloud technologies.

The Software Engineer II will design and optimize distributed systems for processing metadata, collaborating closely with cross-functional teams to integrate machine learning models into production pipelines.

As a Senior Frontend Engineer, you will build and own web applications for security analysis, mentor team members, and collaborate with design and backend teams.

As an Engagement Manager, lead BI projects, guide teams to transform data into actionable insights, and develop BI strategies ensuring data integrity and quality.

The Data Analyst will handle data interrogation and preparation for predictive modeling, collaborate on projects, and create data assets for the P&C insurance market.

As a Data Analyst at Guidewire, you will work on predictive modeling and data analysis, collaborating on multiple projects to drive innovation in the P&C insurance industry.

Lead the Data Science & POCs team to optimize fraud analytics and decision systems, managing projects, mentoring staff, and collaborating with teams to reduce fraud losses.

As a Senior Data Scientist, analyze large datasets to uncover insights on AI model behavior, design experiments, and build statistical frameworks for evaluations.

The Senior Data Scientist will analyze data to enhance rider retention through experimentation and collaboration across teams. Responsibilities include defining metrics, delivering data-driven solutions, and conducting deep analyses on rider engagement.

As a Data Infrastructure Engineer, you'll develop solutions for massive data orchestration, support ML deployment, and lead technical directions for the team.

Develop and deploy algorithms for fish farms, manage data infrastructure, and build statistical models for fish health and weight.

As a Data Analyst, you will lead analytics projects, derive actionable insights from data, and collaborate with teams to improve member experiences.

Lead the strategy of League's Data & AI platform, manage product teams, drive AI innovations, and enhance personalized user experiences in healthcare.

The Marketing Data Analyst analyzes data to support marketing initiatives, presenting insights, maintaining data integrity, and collaborating across teams to optimize digital ad efforts.

Analyze platform usage and user interaction to provide insights, develop dashboards, collaborate on data collection, and communicate findings to stakeholders.

The analyst will manage data integrity and operational support for investment systems, work with vendors and internal teams, and resolve data issues.

Internship involves analyzing data, building machine learning models, collaborating with Data Scientists, and presenting insights to drive business strategy.

The Data Scientist II will develop and deploy machine learning models, collaborating with cross-functional teams to design AI systems for various content classification challenges using NLP and generative models.

As a Data Analyst intern at Stripe, you'll work with data scientists to apply analytics on large datasets, drive business impact, and influence strategy through insights and dashboards. You'll gain hands-on experience in a collaborative team and enhance your technical skills under mentorship.

As a Senior Software Engineer I/II, you'll develop backend solutions, including APIs and data pipelines, supporting operations and R&D in space exploration.