Top Data Science Jobs in Toronto

The role focuses on leading the Data Science & AI Guild, enhancing community engagement, skill development, and AI adoption across Mastercard, while collaborating with various stakeholders and driving strategic initiatives.

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 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 the product vision and execution for AI-driven organization workflows, collaborating across teams to deliver innovative features and enhance productivity.

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 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.

As an Associate Product Manager at Switch, you will drive customer success, manage software implementation, and collaborate with engineers while shaping the product roadmap based on customer feedback and analytics.

The Program Lead manages payments implementation, ensuring stakeholder alignment, risk management, and effective communication across teams and partners.

The role involves leading AI-driven solutions for business optimization, championing change, collaborating with teams, and enhancing decision-making through data analysis and automation initiatives.

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

As a Senior NLP Research Engineer, you will advance AI capabilities in legal workflows by developing retrieval systems, ranking strategies, and evaluation frameworks, and leading complex research projects with minimal supervision.

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.

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.

Manage the hybrid inference roadmap, navigate internal complexities, drive external partnerships, bridge scientific requirements with technical capabilities, and measure the value of the platform across drug discovery.

Lead modeling projects to enhance customer engagement. Build and optimize machine learning models, mentor junior scientists, and communicate findings to stakeholders.

The role involves collaborating with stakeholders for requirements gathering, documentation, agile processes, and testing in AI product development. It also emphasizes coordination, communication, and technical understanding.

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.

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.

Cygnus Professionals Inc. seeks experienced Hadoop developers for their IT Solutions Division. The role involves working with various technologies and clients to deliver tailored IT solutions.

The Lead Product Manager, AI will identify and build AI-powered products, drive growth and customer experience, and collaborate with cross-functional teams.

Lead hiring strategy and recruit a technical talent team. Drive recruiting metrics, develop assessment strategies, and partner closely with leadership.

Lead product analytics to inform product development, experimentation, and GTM decisions. Partner with stakeholders to define KPIs, perform hands-on analyses, specify BI/dashboard requirements, support A/B testing and experimentation, and collaborate with Data Science on ML/AI and automation to measure and drive product impact.

The Strategy Lead will guide strategic direction for clients, develop integrated growth strategies, translate business challenges into priorities, and connect insights with execution across teams to achieve measurable outcomes.

The Engineering Leader will oversee software and data teams, ensuring product delivery and operational excellence in robotics and IoT systems.