Top Data Science Jobs in Toronto

As Director of Consulting Products, lead the development of AI-enabled solutions, manage product roadmaps, and collaborate with cross-functional teams to drive innovation and client engagement.

Lead the data science team in developing machine learning models for optimization and audience modeling, while driving business value and collaboration with stakeholders.

The Director of Product Management leads the development of Mastercard's Business Identity Registry, defining the product vision, optimizing data quality, and managing cross-functional teams to enhance digital trust and support merchant needs.

The Staff Product Manager will define and drive the strategy for Dropbox's sharing features across platforms, lead cross-functional teams, and influence product growth through data-driven decisions and stakeholder communication.

Define and execute the product vision for leveraging data science at DraftKings, focusing on personalization and customer engagement through collaboration across multiple teams.

The Lead Technical Program Manager will manage AI-driven data science projects, collaborate with teams, define deliverables, and ensure successful execution.

This role involves content creation, customer communication, and collaboration across teams to modernize solutions for enterprise clients using MongoDB's platform.

The Senior Product Manager for AIOps at PagerDuty will lead product lifecycle, define strategic roadmaps, and collaborate with engineers and designers to address customer needs in AI-powered digital operations management.

The Senior Technical Product Manager will lead product vision for the ML team, collaborating with various teams to enhance user experiences through ML tools and data solutions, tracking KPIs and project lifecycles.

Lead KYC modeling strategy, develop machine learning systems for customer onboarding and compliance, and oversee KYC monitoring and rules engine. Manage a team and align strategies with key stakeholders.

Lead the Appeal Operations team to manage the Denylist appeal program, leveraging fraud expertise to drive efficiency and collaborate with cross-functional teams.

The Principal Product Manager, AI will lead the AI platform strategy at Webflow, collaborating across teams to enhance product innovation and growth, and develop a unified AI strategy based on customer insights.

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

The Product Manager for the Pricing Platform at Lyft will develop products to optimize pricing systems, lead cross-functional teams, and handle product roadmaps.

Lead the product strategy for personalization systems at CookUnity, collaborating with ML, engineering, and design teams to enhance user experience and drive retention through personalized food recommendations.

Lead a team of data scientists to deliver insights and data-driven solutions. Provide technical leadership, manage projects, and foster a culture of innovation.

As a Senior Product Manager for Digital Services AI at eBay, you will define strategies for AI-powered customer experiences, collaborate across teams, and leverage data for continuous improvement.

The Sr. Manager, CRM AI Transformation will drive the vision for eBay's CRM transformation, focusing on enhancing customer experiences through strategic, technical, and operational initiatives across multiple teams.

Lead a multidisciplinary Agile team to develop data products, manage backlogs, and ensure alignment with customer needs and business objectives.

The Senior Account Executive is responsible for managing the sales cycle of Microsoft products, developing relationships, and collaborating with teams and clients to drive sales and growth.

As an Applied Machine Learning Scientist, you will innovate and develop machine learning algorithms, write production code, and collaborate to implement and test these solutions based on historical data.

As a Senior/Staff Machine Learning Engineer, you will design scalable data pipelines, implement ML algorithms, and collaborate with engineers and Data Scientists to optimize the digital advertising platform.

Lead the product development of analytics and conversational BI for agentic customer experiences. Collaborate with Data Science and Engineering to establish usability and governance metrics, ensuring effective enterprise analytics applications.

The Senior Product Manager will define product strategy and manage the development of AI-native tools aimed at improving trust posture across security, privacy, and compliance. Responsibilities include roadmap creation, collaborative UX development, and driving automated remediation through innovative AI solutions.

The Senior Data Scientist II will develop machine learning models and collaborate with teams for data-driven decisions, enhancing data science methodologies.