Top Data Science Jobs in Toronto

The Senior Data Scientist will lead quantitative research, design experiments, partner with teams to drive product strategy, and monitor key metrics to optimize Thumbtack's offerings.

Lead the development of statistical models and perform data analysis to drive revenue growth and support business decision-making, collaborating closely with various teams.

The Senior AI Business Analyst will collaborate with teams to define product vision, document requirements, manage project planning, and communicate progress while focusing on AI product development.

Lead computational biology efforts to enhance drug discovery and development. Collaborate across functions, mentoring teams and driving precision medicine strategies.

As an Applied AI Researcher, you will collaborate with teams to advance AI capabilities, conduct research, and develop production systems, focusing on deep learning and NLP to solve real-world problems.

As a Carbon Data Analyst, you will implement clients' carbon measurement on Terrascope's platform, providing feedback for product development improvements.

Lead and oversee Biostatistics within Neurology, partnering with teams for clinical design and strategy, managing a high-performing team of biostatisticians, and ensuring excellence in data analysis and regulatory adherence.

The Senior Analytics Lead at Roche will provide strategic insights through advanced data analytics, collaborate with various teams, and develop forecasting tools for operational planning.

The role involves optimizing machine learning algorithms for mobile app user acquisition. Responsibilities include developing production-grade ML models and collaborating with data engineers and scientists to enhance advertising effectiveness and metrics.

The candidate will conduct research and provide insights on AI from a cybersecurity perspective, helping clients navigate challenges and making strategic recommendations.

The Manager, Data Science leads the design and implementation of machine learning solutions, collaborates with teams on project delivery, and mentors staff in a data-driven environment.

Lead a data science team to deliver impactful analytics solutions, ensuring quality and alignment with business goals. Foster innovation and team growth.

Lead a high-impact team of data scientists, designing experiments, building machine learning models, generating insights, and mentoring team members to enhance client experiences and drive product growth.

Lead the end-to-end development of ETL data pipelines, tools, and dashboards, collaborating with product and engineering teams to drive data initiatives.

Lead the Marketing Data Science and Analytics strategy, developing actionable roadmaps, advancing AI/ML capabilities, and managing a team to drive data-driven insights and operational delivery for marketing objectives.

Lead data science efforts by leveraging machine learning and AI to analyze data, develop models, and provide strategic insights to enhance business decisions and consumer understanding.

The Data Scientist will partner with various teams to design experiments, apply statistical techniques, and build machine learning models to influence product development and business decisions. Responsibilities include creating data models for analytics, applying software best practices, and communicating insights with stakeholders.