Top Data Science Jobs in Toronto

Lead a team of data analysts to improve product performance insights, establish experimentation practices, and enable self-service insights for the company.

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

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

The Senior Account Executive will leverage technical expertise to drive revenue growth, build partnerships, and represent technology in the engineering sector.

The Manager, Product Analytics leads a team to drive product insights, collaborates on business objectives, and oversees analytics projects to inform product decisions and improve user experience.

The Director of AI will lead the integration of AI solutions, guide clients through implementations, design scalable AI applications, and define best practices within a cross-functional team.

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

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

As VP, Head of Analytics, Data Science & Pricing, you will lead data-driven strategies to drive growth and inform business decisions, promoting Human+AI collaboration.

The Product Marketing Manager will lead the go-to-market strategy for Robinhood Crypto, driving awareness and adoption while collaborating with cross-functional teams.

As a Junior Data Scientist, you will assist in developing and maintaining analytical workflows, building statistical models, and supporting data architecture in an actuarial environment.

The Manager, Data Science will build data infrastructure and analytics for model development and operational processes, applying statistical methods for financial decision-making and risk management, while collaborating with teams on insights and solutions.

As a Senior Data Scientist, you'll develop and implement data science techniques, focusing on advanced analytics and GenAI solutions to drive business value.

Lead and mentor the Regulatory Analytics and Data Science teams, collaborate with cross-functional partners, and develop tools for data-driven decision making.

The Senior Data Scientist will support Canadian business units by applying advanced analytics, developing GenAI solutions, and collaborating on data science projects to drive value.

The Finance Director will lead financial planning, oversee budgeting and forecasting, analyze performance against KPIs, and mentor finance team members.

The Data Science Intern will develop machine learning algorithms, analyze data, and communicate insights to support local retailers. Responsibilities include executing projects and tackling complex marketplace issues.

The Data Science Intern will support building ecommerce forecasting models, develop predictive models, analyze datasets, and communicate findings across teams.

The Data Science Manager will lead the team in delivering data products, ensuring project success, building a high-performing team, and collaborating with stakeholders to improve business metrics through ML solutions.

The Strategy & Insights Manager will analyze market data, build presentations, tell compelling stories, and collaborate across teams to drive influencer marketing strategies.

The Director of Data Science will lead the data science team, develop predictive models, and enhance AI strategies to drive business growth.

The Manager, Data Science will lead a team to develop AI and machine learning models, support product features, and drive data applications across the organization.

Lead the Data Science & POCs team to optimize fraud analytics and decision systems, managing projects, mentoring staff, and collaborating with teams to reduce fraud losses.