Top Data Science Jobs in Toronto

Lead an AI/ML/Data Science team to develop and deploy machine learning solutions for robotics, focusing on innovative capabilities and cost-effective cloud processing pipelines.

Lead the credit strategy and risk management at Prime, developing credit policies and procedures, managing relationships, and overseeing credit lifecycle using data analytics and machine learning.

Develop and design learning paths and courses in various technical domains, authoring materials and assessments while collaborating with team members.

As an Account Executive, you'll prospect and close business, meet sales quotas, and develop enterprise relationships while collaborating with cross-functional teams.

Join Netlight as a Software Engineering Consultant, working on various tech projects while contributing to the growth of the Toronto office. Role involves development, mentorship and building products across multiple domains.

As a Senior Data Scientist at GPTZero, you'll analyze user behavior, build scalable data pipelines, and collaborate across teams to drive data-informed decisions for AI content integrity.

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.

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.

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 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.

Lead and mentor the research team to deliver strategic insights, influence product roadmaps, and ensure research quality across platforms.

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 role involves utilizing advanced analytical algorithms to mine data, develop predictive models, and drive data-driven solutions, focusing on business decisions and optimizing data strategies.

Lead the development of AI and data science products, manage cross-functional teams, and communicate technical strategies to non-technical stakeholders.

The Senior Director will lead Azure solution sales, develop strategies for revenue growth, enhance customer relationships, and manage a high-performing sales team.

The Senior Data Science Engineer develops tools for AI, enhances analytics solutions, and educates others on data best practices, collaborating with teams for improved data utilization.

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.

Deliver compelling presentations and host discussions on emerging AI topics, engaging with senior leaders to translate AI concepts into strategic insights.

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

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

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

The Associate Data Science Actuary analyzes mortality data for longevity markets, develops predictive models, and collaborates with various teams to enhance data-driven solutions.

Lead and drive AI strategy and data science solutions, providing technical leadership, guiding business partners, and overseeing complex projects.

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.

The Senior Data Science Engineer will design and deploy scalable machine learning models for the hospitality industry, collaborating closely with Product and Engineering teams to turn complex algorithms into effective solutions.