Top Data Jobs in Toronto

The Lead Data Scientist will develop marketing mix models, automate data workflows, and communicate insights to enhance marketing effectiveness for clients.

Collect, clean, and analyze product data to generate reports and dashboards (KPIs: engagement, retention, adoption). Provide exploratory analyses, visualizations, and actionable insights to product teams, ensuring data integrity and supporting product decisions.

Lead the Data and AI offering across North America by shaping go‑to‑market strategy, qualifying and driving pursuits, influencing solution and proposal design, building executive client relationships, enabling staffing and delivery alignment, and maturing offering assets, playbooks, and internal enablement to drive measurable business outcomes and expansion.

The Director is responsible for leading EAML Data Management Development, managing applications, supporting projects, and maintaining business relationships. The role requires technical expertise, leadership, and a focus on delivery and improvement across teams and initiatives.

The Senior Data Scientist will develop and validate marketing mix models, analyze data, automate workflows, and communicate insights to clients.

The role involves designing and developing machine learning solutions for fraud detection and prevention. Responsibilities include analyzing datasets, creating models, collaborating on projects, and communicating results effectively.

Use Python and SQL to gather, clean, and analyze large consumer datasets, build owner-specific reports and visualizations in Tableau, investigate anomalies, and collaborate with Analytics and Data Engineering to automate processes and improve data quality for models.

Design, build, and maintain automated deployment pipelines, infrastructure-as-code, and CI/CD for cloud-based data platforms. Ensure operational stability through orchestration (e.g., Airflow), monitoring, incident response, and reproducible environments. Partner with engineering, security, and governance teams to enforce access controls, compliance, and operational standards while documenting runbooks and driving platform reliability improvements.

Provide administrative support for claims settlement including opening claims, assigning adjusters, processing payments and correspondence, managing closed-file storage/retrieval, scanning/photocopying, and suggesting process improvements while delivering customer-focused service.

Lead architecture and delivery of a CRM and data-driven prospecting platform. Design unified data models, build integrations (Salesforce, APIs, webhooks), implement RAG and LLM-powered workflows, ship dashboards and self-serve reporting, and prototype automations with clear SLAs and governance across BD and M&A workflows.

Lead the delivery of finance data models and reporting solutions, ensuring reliability and compliance with audit requirements while influencing cross-functional teams.

Join the eBay Search product team as a Data Scientist focused on A/B testing and insights, enhancing search features and driving growth through data analysis.

The Data Engineer will design, develop, manage data pipelines, automate infrastructure using Terraform, collaborate with teams for compliance, and improve data solutions.

The (Senior) Analytics Engineer will develop SQL transformations, design data models, and collaborate with cross-functional teams to support business analytics.

Support the Angry Birds Friends team by analyzing player and business data. Build SQL queries, use Python to clean and automate analyses, design and interpret A/B tests, monitor KPIs, investigate anomalies, and communicate actionable insights to improve the game and drive growth.

The Senior Manager will oversee data governance, analytics, and insights for the Finance organization, enhancing data quality and operational efficiency.

Design and develop eBay's Core Data Platform, focusing on building scalable distributed systems for data ingestion, governance, and analytics. Collaborate across teams to ensure reliability and enhance data processing capabilities.

Oversee BMO's enterprise data management tooling ecosystem, drive product strategy and execution, enhance data governance and compliance, and lead a diverse team to maximize data value.

The role involves managing advanced data analytics in strategic finance, including building data models, ensuring governance, and presenting insights to clients.

As a Senior Consultant, you will lead data engineering initiatives, develop data pipelines using Databricks, ensure data quality, collaborate with stakeholders, and mentor junior developers.

Analyze and validate IT asset data in SCCM, reconcile discrepancies using SQL, build Power BI dashboards for leadership, partner with ITAM and infrastructure teams to improve asset lifecycle data accuracy and governance, and support remediation including occasional after-hours work.

As an Agentic Data Specialist, design and manage data systems for AI agents, ensuring seamless integration and collaboration across enterprise technologies.

Lead the Salesforce Finance-wide data strategy, ensuring data governance and integration of AI/analytics for optimization. Drive initiatives supporting AI-driven decision making across the organization.

The Data Scientist conducts deep diagnostic, predictive, and prescriptive analytics, supports data-driven business decisions, and develops data mining protocols to identify trends across various business domains.

The role involves architecting and curating data sources for digital experience measurement reporting, collaborating with partners, and ensuring data quality.