Top Data Jobs in Toronto

Use client data to build predictive models, segmentation, and CLV/churn solutions. Prepare and clean large datasets, implement MLOps pipelines, deploy and monitor models, and communicate insights to stakeholders to drive claims-related business decisions and personalization.

The Senior Data Engineer will lead the design and development of scalable data infrastructure for analytics and AI capabilities, ensuring compliant data processing systems and improving the data platform.

As a Lead Data Scientist, you'll design experiments, build predictive models, and lead a team while shaping data-driven strategies to enhance AI deployments.

As a Senior Data Engineer, you'll build and manage data pipelines, ensure data quality, collaborate with teams, and uphold data governance at Mozilla.

The Data Engineer will assist clients with SAP security design, implement SAP security, develop authorization profiles, and conduct security reviews.

Lead a team to deliver analytics solutions, transforming data into actionable insights, building AI/ML models, and collaborating across business units to drive analytics adoption.

The role involves analyzing software requirements, contributing to software development, mentoring developers, and leading design/code activities in a big data context.

The Database Research Expert will lead the architecture design for a data analytics platform, optimize database performance, and guide research on innovative database technologies.

The Technical VP will lead innovations in big data and AI strategies, optimize data performance, manage R&D teams, and engage with industry communities.

The Technical VP for AI & Data Storage will define technology roadmaps, lead research advancements, and mentor engineers in evolving storage systems integrated with AI.

Research emerging trends in AI-powered big data systems, develop proofs-of-concept, optimize performance, and collaborate on innovative solutions.

Conduct applied research to develop AI data engine and storage architectures for large-scale workloads, optimize system software, and advance AI storage technologies.

Develop and implement AI risk assessment and pricing frameworks by evaluating AI models, creating rating tables and pricing models, collaborating with underwriters, building Python-based analytical tools, and researching emerging AI risks and mitigation strategies.

The role requires developing solutions using IBM DataPower, with a focus on creating WSP, XFW, MPGW, and managing certificates and encryption. Candidates should have strong skills in troubleshooting and working with various DataPower devices.

The Manager of Data Operations will lead a team to ensure the reliability and scalability of data platforms, enforce operational standards, and implement CI/CD practices. Responsibilities include monitoring data quality, incident management, and collaborating with various teams to enhance data operations.

Seeking experienced Data Engineers to design and optimize real-time and batch data pipelines, leveraging cloud technologies for scalable data solutions.

As a Product Manager for Computer Vision & Data Products, you will manage the full product lifecycle, working closely with data scientists and engineers to innovate and deliver data solutions for risk assessment and management.

Looking for a Data Engineer experienced in Dataiku to design and maintain data pipelines and infrastructure, ensuring data flow and integration across teams.

The Senior Data Scientist will develop ML and AI algorithms to drive business value, manage data pipelines, and communicate insights with stakeholders.

Design and maintain data pipelines using Databricks and SQL. Collaborate with teams to ensure data quality and compliance while optimizing performance.

The Data Scientist will validate and monitor ML models, design evaluation frameworks, and collaborate on architecture with senior scientists to ensure model reliability and performance.

The Forward-Deployed Data Analyst will engage with African Ministries of Health, build data management solutions, develop dashboards, and support public health decision-making.

The MDM Data Analyst will translate business needs into data requirements, document governance rules, and ensure high-quality master data management across enterprise systems.

The Senior Data Platform Engineer will design and operate a unified data platform, ensuring reliable data flows and collaborating across teams to shape data strategy and architecture.

The Data Analyst, Growth will analyze marketing data to deliver actionable insights, design dashboards, automate reporting, and support cross-functional projects to improve client acquisition and retention.