Top Data Science Jobs in Toronto

The Global Economic Intelligence Director oversees product management for economic intelligence solutions, develops go-to-market strategies, manages cross-functional teams, and drives innovation aligned with market needs and client solutions.

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.

As a Staff Machine Learning Engineer, you will enhance credit modeling, manage full credit modeling stacks, and support innovations within regulated banking frameworks.

The Head of Scaled Sales will build sales-assisted growth strategies, optimize customer engagement, leverage data analytics, and deploy AI in sales processes.

The Director of Agent Suite Product Development leads AI product management, defining roadmaps, managing product lifecycles, and collaborating with teams to drive client engagement and commercial impact.

The AI Scientist will design, develop, and deploy AI systems for cardiovascular care, ensuring integration with clinical workflows and evaluation for safety and efficiency.

The AI Product Manager will drive the development of AI-powered applications, collaborating with engineering and design teams, conducting market research, and optimizing AI models to align with user needs.

The role involves managing the AEC Generative AI program, coordinating cross-functional teams, ensuring project delivery, and defining launch criteria for AI features.

As a Senior Data Scientist at Pinterest, you will develop quantitative models and algorithms to address complex engineering challenges, collaborating with cross-functional teams to enhance product development and user experience.

As a Senior Data Scientist, you'll partner with cross-functional teams to drive AI/ML impact, influence product strategy, and execute data-driven analyses and experiments.

The Director of Strategic Programs at eBay leads cross-functional initiatives, shaping customer communication strategies, and improving marketing experiences using AI-driven solutions while guiding a talented team.

Lead the development of a high-impact paid search program, utilizing data and analytics for customer acquisition and optimizing CPA/LTV. Collaborate cross-functionally for growth initiatives and monitor competition actively.

The Developer Relations Manager will build partnerships to support AI solutions, provide technical advisory, and collaborate with internal teams to enhance adoption of NVIDIA technologies.

The Staff ML Engineer will lead technical initiatives, design machine learning systems, drive architectural decisions, and mentor other engineers while influencing strategy across software and machine learning projects.

As a Talent Acquisition Partner for R&D, you'll lead full-cycle recruitment for technical roles, collaborate with engineering leaders, and improve hiring strategies in a competitive market.

The Senior Data Scientist will analyze manufacturing data to improve quality and optimize processes through advanced analytics, with a focus on driving cost and waste reduction.

The Principal, Completion Portfolio Strategies will drive research and investment strategies within a quantitative framework, manage QIS, and foster innovation across portfolio management.

Manage and develop engineering teams focused on data and analytics infrastructure at Spotify, leading technical direction and fostering a strong engineering culture while balancing leadership and hands-on contributions.

The Senior Manager, AI Product Enablement is responsible for leading the discovery, design, and delivery of agentic AI solutions, coordinating with stakeholders and driving adoption of AI initiatives while ensuring ethical compliance.

The Principal Product Manager for Billing defines product strategy and roadmap, ensuring efficient billing capabilities and compliance while collaborating with cross-functional teams to deliver scalable solutions.

The Data Product Manager will lead the development of enterprise data products by translating business needs into scalable data solutions, managing analytics projects, and coordinating with global teams to ensure efficient delivery and optimization of data initiatives.

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.

The Senior Product Manager for Theft Solutions will lead the product strategy and execution for Geotab’s theft prevention and recovery solutions, utilizing telematics and data analytics to drive market adoption and product delivery.

As an Automation Engineer, you'll build automation pipelines, collaborate on experimental needs, program instrumentation, and integrate with data science, enhancing research capabilities.

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.