Top Data Science Jobs in Toronto

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.

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

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

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.

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.

Lead the Data Science team to implement advanced ML models in AdTech, optimizing bidding strategies and enhancing decision-making through Deep Learning architectures while managing team performance and collaboration.

The Principal Product Manager for Billing defines product strategy and roadmap, ensuring efficient billing capabilities and compliance while collaborating with cross-functional teams to deliver scalable solutions.

Lead a data science team to design, train, evaluate, and implement ML models using Python, AWS, and agentic AI. Partner with cross-functional stakeholders, translate technical work to business outcomes, manage talent, and evaluate new technologies for digital banking risk and decision-making.

Lead finance analytics, own data warehouse and BI strategy, build Finance AI automation and model foundation, optimize GCP costs, create self-service analytics, ensure data governance and audit readiness, and manage a cross-functional team supporting FP&A and accounting.

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.

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 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.

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 role involves leading the search and recommendation science products at eBay, driving sales velocity for sellers through data-driven strategies and cross-functional collaboration, with a focus on customer-centric innovations.

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

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.

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.

As a Senior Data Scientist, you will enhance product listing quality for local retailers using machine learning and deep learning techniques. You will design ML solutions and collaborate with cross-functional teams to improve product discovery and evaluation processes.

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.

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

The Neuron Whisperer will establish and execute neuron culture methods, optimize protocols, collaborate with teams, and provide input on research design and workflows.

The Forward Deployment Engineer will deploy and optimize Generative AI solutions on-site, collaborating with engineering teams to operationalize AI systems across multi-cloud platforms.

As a Senior Statistical Methodology Data Scientist, you will lead innovative statistical approaches, provide guidance on study design, and support evidence-based decision-making in clinical development.