Top Data Science Jobs in Toronto

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.

The Research Platform Scientist will build high-efficiency experimental pipelines, collaborating with scientists and engineers to enhance throughput in molecular biology efforts.

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 Data Scientist will design and deploy time-series forecasting models, collaborate with stakeholders, and operationalize models in cloud environments, focusing on demand planning across various industries.

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.

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.

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.

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 founding Data Scientist/Machine Learning Engineer, you'll develop AI/ML models, enhance product capability, and drive impactful user outcomes while working closely with product teams.

Oversee all aspects of data projects, leading delivery teams using Agile methodologies, managing risks, and ensuring effective communication within a dynamic environment.

Lead the creation and optimization of machine learning algorithms, develop and refine production-grade models, and drive testing of innovative algorithms using 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.

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.

As a Data Scientist at Lyft, you will analyze data to enhance products and decision-making in ride-sharing. This includes statistical modeling, designing experiments, partnering with teams, and proposing technical solutions to improve rider and driver experiences.

Lead the development and delivery of AI-driven product capabilities, transforming data into actionable insights while mentoring a high-performing team of data scientists and engineers.

Lead AI strategy and execution by managing a team of Data Scientists and ML Engineers. Oversee the deployment of LLM-based applications, drive product-led AI initiatives, and ensure cost-effective solutions.

The Senior Director will lead the data science and AI capabilities at Aviso, managing teams to deliver measurable solutions from concept to production. Responsibilities include overseeing experiments, integrating AI into products, and ensuring compliance in a regulated environment.

Lead and mentor a data science team to enhance the Rider App experience through machine learning, analytics, and experimentation. Partner with stakeholders to drive data-driven decisions and innovation.

Lead a team to deliver analytics solutions, transforming data into actionable insights, building AI/ML models, and collaborating across business units to drive analytics adoption.

Lead performance diagnostics, build analytics solutions, deliver insights using AI/ML, and mentor stakeholders in data-driven decision making.

Lead end-to-end analytics for business decisions using data insights and AI/ML. Collaborate with cross-functional teams to build scalable solutions and drive advanced analytics adoption, delivering actionable insights and compelling visualizations.