Top Data Jobs in Toronto

As a Senior Data Analyst, you will shape performance measurement, support growth marketing through A/B testing and customer analysis, and develop data models.

The Senior Data Engineer at League will develop and support data services and software products, ensuring performance and security of data infrastructure while collaborating with cross-functional teams.

Lead the design and development of a data platform, integrating data sources, driving architecture migration, and ensuring robust data governance and API development.

The Data Science Manager will lead the team in delivering data products, ensuring project success, building a high-performing team, and collaborating with stakeholders to improve business metrics through ML solutions.

The Data Engineer III designs and develops data solutions, including pipelines and storage, while collaborating with various teams to enhance data-driven decision-making and data quality practices.

As a Data Analyst, you will analyze data, visualize findings, create reports, and maintain data documentation while collaborating with data scientists.

The Technical Data Manager will support NPI across product lines, manage data entry, and create Engineering Change Orders during product lifecycle.

As a Data Engineering Architect, lead the transformation of data engineering into a modern platform, oversee architecture and technical leadership, design scalable systems, ensure data quality and governance, and mentor teams for a data-driven culture.

The AI-Native Data Engineer will build data pipelines, architect databases, design GCP infrastructure, and automate workflows for energy management using AI.

Design and build platform services at Atlan, focusing on app lifecycle, distribution, and system architecture for reliability and scale.

As an AI Data Collector, you will capture high-quality images in various environments following project guidelines and deadlines. You will work independently, document your process, and help shape the future of AI technologies.

As a Business Development Intern, you will support acquisition activities by validating prospect data, conducting market research, and aiding analysis for software company acquisitions.

Design and build scalable ETL/ELT pipelines for clinical data, optimize data architectures in AWS, support AI workflows and ensure compliance and data governance.

The Data Intern will analyze content from pharma/biotech/MedTech sources, focusing on data quality and sourcing using machine learning methods. Tasks include spreadsheet manipulation and prompt engineering for LLMs, collaborating with data teams for industry insights.

The Data Analyst will support business needs through technical problem-solving and data analysis, focusing on improving user experience and conversion rates in a B2B2C environment.

The Data Engineer will manage the full data stack, design database architecture, build ETL pipelines, create data integrations, and oversee reporting and data quality.

The Software Engineer will provide technical support to customers, collaborate with engineering teams, and drive customer success initiatives while leveraging Python and SQL expertise.

The Data Technical Analyst at StackAdapt will advise clients on audience targeting, oversee technical setups, optimize data integrations, and troubleshoot performance issues while staying informed on industry trends.

As a Data Scientist at Sardine, you'll design and deploy data-driven solutions to prevent fraud, collaborating with clients and engineering teams to build and optimize machine learning models.

Operate, optimize, and scale Better Collective’s DMP and contextual targeting solutions. Build and manage audience segments, ensure inventory suitability and scale, support sales and product with data-driven insights, collaborate with vendors and internal teams, and maintain privacy/compliance (GDPR, CCPA).