Top Data Science Jobs in Toronto

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.

Own vision, strategy, and roadmap for cost-optimization and energy-management products for fleets. Translate telematics and operational data into customer-facing features, run discovery, prototype MVPs, define success metrics, and ship end-to-end with cross-functional teams.

The Global Economic Intelligence Director oversees product management for economic intelligence solutions, develops go-to-market strategies, manages cross-functional teams, and drives innovation aligned with market needs and client solutions.

As a Staff Machine Learning Engineer, you will enhance credit modeling, manage full credit modeling stacks, and support innovations within regulated banking frameworks.

The Head of Scaled Sales will build sales-assisted growth strategies, optimize customer engagement, leverage data analytics, and deploy AI in sales processes.

Senior Sales Engineer supporting pre-sales for Mastercard Identity in North America. Act as product expert to qualify prospects, design technical solutions, run proofs of value, provide training, create documentation, present at events, and relay customer feedback to Product. Leverage data science and machine learning knowledge, API/web architecture expertise, Python and SQL skills, and strong communication to drive sales and ensure smooth onboarding.

Lead a data science team to build scalable data pipelines, ML models, and tooling on AWS; operationalize and analyze large structured and unstructured datasets; collaborate across teams to source data and optimize business programs; hire and develop talent while evaluating new technologies for digital banking.

Lead execution of BI strategy, manage multidisciplinary teams, prioritize large BI initiatives, ensure quality deliverables, embed MLOps best practices, drive innovation and partnerships, and deliver analytics solutions for Product, Underwriting, and Pricing.

Lead a data science team to design and deliver merchant registry and profiling ML capabilities for onboarding and monitoring. Define strategy, guide model development and validation, promote reusable data assets, partner with Product and Engineering, drive Agile delivery, hire and mentor team members, and communicate impact to senior leadership to scale production ML systems on modern cloud/data platforms.

Serve as the primary technical pre-sales lead for large enterprise accounts, defining technical strategy, driving ML/AI and data-driven adoption, building technical champions, coordinating virtual teams, and supporting sales to deliver business outcomes using big data and cloud platforms.

The Data Product Manager will lead the development of enterprise data products by translating business needs into scalable data solutions, managing analytics projects, and coordinating with global teams to ensure efficient delivery and optimization of data initiatives.

Support end-to-end execution of clinical trials and post-market activities including site start-up, monitoring, data entry and query resolution, TMF maintenance, regulatory submissions, enrollment and timeline tracking, and cross-functional collaboration to ensure compliance with GCP/ICH and regulatory standards.

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.

Own the acquisition product roadmap and engineering priorities to drive durable user growth. Define target audiences and channel mix, build product-driven acquisition mechanics (referrals, growth loops), enable channel effectiveness (discoverability, search/AI readiness, integrations, tracking), test new acquisition tactics, and align product investment with Performance Marketing, SEO, Partnerships, and Brand while measuring long-term subscriber value.

As an Automation Engineer, you'll build automation pipelines, collaborate on experimental needs, program instrumentation, and integrate with data science, enhancing research capabilities.

Lead development and execution of an enterprise B2B AI platform product (agentic systems). Define strategy and roadmaps, partner with Data Science and Engineering, prioritize customer and operational needs, use data and analytics to drive decisions, run rapid prototyping and experiments, remove delivery obstacles, mentor teams, and optimize scalable product journeys and workflows.

Lead product strategy and execution for Clio's enterprise suite (Vincent and Operate). Define roadmaps, partner with Design, Engineering, Research, and Data Science, embed user research and data-informed decisions, and mentor other product managers. Drive AI-enabled product development, customer engagement, and cross-functional alignment to deliver enterprise-grade legal solutions.

The VP Global Grid Modeling will lead global data strategy, manage high-performing teams, ensure quality datasets, and engage with customers for insights in energy markets.

Design, develop, train, and evaluate machine learning models; prepare and analyze large datasets; build dashboards and integrate models into applications; provide technical leadership and ensure ethical AI practices.

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.

Lead product strategy and roadmap for eBay Search, driving growth through AI-driven features. Partner with engineering, design, data science, and analytics to build MVPs, run A/B tests, iterate quickly, and measure impact to improve discovery, personalization, and user experience.

The Senior IT Business Analyst will collaborate with various teams for project scoping, manage documentation, participate in agile processes, and communicate project progress. Key responsibilities include defining requirements for AI product development and facilitating agile ceremonies.

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.

Lead the development of AI and machine learning solutions at Mastercard, defining strategy and mentoring teams while ensuring compliance and enhancing consumer experiences.

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.