Top Data Jobs in Toronto

As a Product Manager, you will develop customer-centric products leveraging technology, lead cross-functional teams, and define success metrics while fostering innovation and team culture.

The role involves driving sales within financial institutions, establishing professional networks, and developing payment solutions that address client needs.

Lead cross-functional execution for Telematics at Motive, managing programs from inception to delivery while collaborating with various teams and improving operational excellence.

The VP of Insurer Sales leads and develops the sales team, drives growth, manages relationships with insurers, and influences product development.

Develop predictive models and apply machine learning to enhance Marketing strategies. Collaborate with teams to drive data-informed decisions and measure initiative impacts.

The Senior Data Scientist will analyze marketing data, develop reports and dashboards, consult on KPIs, and collaborate with teams to enhance strategies and drive growth.

As a Senior Field Data Scientist at Braze, you'll collaborate with customers on data integrations, improve product capabilities, refine algorithms, and provide technical expertise for customer success in AI deployment.

Lead a team of engineers in network and data center infrastructure operations. Drive operational excellence and project delivery while ensuring performance and security.

Lead the design and development of scalable machine learning systems, mentor data scientists, and influence product roadmaps to enhance customer experience and business outcomes.

Lead design and development of ML systems for restaurant technology, including menu recommendations and demand forecasting, influencing strategic decisions and enhancing customer experiences.

As a Data Engineer, you'll design and maintain data pipelines, ensuring accuracy and scalability while collaborating with clients and internal teams to derive actionable insights.

As a Senior Data Scientist at GPTZero, you'll analyze user behavior, build scalable data pipelines, and collaborate across teams to drive data-informed decisions for AI content integrity.

Lead and deliver advanced AI and machine learning solutions at Mastercard, defining strategy and driving execution in data science initiatives.

The Sr. Data Analyst will analyze payments data to detect fraud trends and provide actionable insights to enhance product performance, using SQL and data visualization tools.

As a Senior Associate Data Analyst, you will build and maintain business reporting, perform data analysis, and ensure data integrity while collaborating with business partners.

The role focuses on building out and expanding Cloudflare's global network, managing datacenter installations, improving infrastructure processes, and facilitating technical deployments.

The Senior Data Engineer will build scalable data systems, optimize data workflows, and collaborate with teams to enhance data-driven decisions.

As a Senior Forward-Deployed Data Scientist, you will collaborate with customers on data integrations, enhance product architecture, and advance machine learning algorithms while ensuring successful adoption and outcomes.

The Data Scientist will develop and deploy scalable ML models utilizing NLP to enhance security solutions, collaborating with cross-functional teams.

Engage with customers to sell Salesforce Customer 360, build relationships, develop account strategies, and drive growth within assigned accounts.

The role focuses on consulting and configuring ServiceNow integrations and data architecture, ensuring integration projects succeed and meet customer objectives.

The Enterprise Architect leads the development of AI and Data architecture, aligning technology with business needs while ensuring adherence to governance standards. They provide strategic guidance, collaborate with stakeholders, and utilize advanced technologies to enhance solutions and processes.

The Senior Associate Data Engineer designs, builds, and maintains data systems, focusing on efficient data processing and architecture. Responsibilities include optimizing ETL processes, ensuring data quality, and providing technical guidance to junior engineers while collaborating with cross-functional teams.

The Data Engineering Lead oversees the design and implementation of data systems, ensuring performance and governance while mentoring junior engineers.

The Staff Data Scientist will analyze user behaviors and drive business impact through analytics, experimentation, and collaboration across teams.