Top Data Jobs in Toronto

The Staff Software Engineer, Data will lead technical projects, direct data engineering initiatives, and mentor other engineers at BenchSci. Responsibilities include managing secure data processes, translating product vision into technical solutions, and contributing to the technical direction of the engineering team. This role focuses on improving infrastructure and enhancing scientific discovery while fostering team development.

The Data Engineer will design, develop, and maintain scalable data pipelines and workflows, ensuring data quality and integrity while collaborating with engineering and business teams to provide insightful solutions. The role requires proficiency in tools like Airflow, Redshift, Python, and SQL, along with experience in building custom ELT pipelines and familiarity with reporting tools such as Looker.

The Senior Platform/Data Engineer will design, implement, and maintain a secure data platform using Snowflake, optimizing performance and leading projects. Responsibilities include data integration, mentoring junior engineers, ensuring compliance, and collaborating with stakeholders on data requirements.

The Data Engineer 4 role involves developing and overseeing the company's data systems, optimizing database solutions, managing data migrations, and ensuring compliance with regulations. The incumbent will analyze data needs, recommend improvements, and collaborate with product teams for strategic initiatives, ultimately enhancing customer experiences.

As a Data Engineer at Wattpad, you will design and maintain data infrastructure, create data pipelines, manage the data warehouse, and optimize performance. You'll collaborate with data scientists and analysts to transform raw data into insights, including documentation and process maintenance.

The Senior/Staff Data Engineer will design scalable, real-time data pipelines for StackAdapt's digital advertising platform, work on big data ML pipeline improvements, implement custom ML algorithms, and collaborate with data scientists and engineers on complex projects.

The Senior Data Analyst will own the analytics of games, collaborating with various teams to meet data needs and improve game performance through data-driven projects. Responsibilities include managing reports, enhancing BI technologies, optimizing ETL processes, and overseeing Junior Data Analysts.

As a BI/Data Visualization Developer, you will design and create dashboards and visualizations based on business needs, collaborate with data teams to ensure data quality, and apply UI/UX principles to improve stakeholder engagement. This role demands at least 2 years of experience in data analysis and strong skills in various visualization tools.

The Senior Data Scientist will focus on developing Machine Learning models for pricing strategies and product recommendations, optimizing consumer experiences through scalable data pipelines, and collaborating with various teams to measure effectiveness of these models through controlled experiments.

The Senior Data Curation Engineer will develop high-quality data products on the Databricks platform, ensuring they meet curation specifications and governance standards. The role involves collaborating with technical data stewards and business users, following Agile methodologies, documenting data products, and implementing change requests.

The Senior Manager Data Visualization will design and develop reports and dashboards, collaborate with data teams for data quality, interpret data models, and apply UI/UX practices to enhance stakeholder engagement.

The Senior Data Scientist will design and implement cutting-edge ML models for consumer pricing and recommendations, develop data pipelines, and collaborate with cross-functional teams to optimize consumer journeys. Responsibilities include creating algorithms, conducting experiments to validate solutions, and maintaining feature stores for scalability and performance.

The Senior Manager, AI & Data Platform oversees the evolution and management of data and AI systems, ensuring reliability and efficiency. Responsibilities include leading DataOps implementation, managing AI model lifecycle, collaborating with internal and external partners, and mentoring team members while maintaining governance and compliance in operations.

The Data Strategy Manager will assist clients in identifying opportunities for model improvement within their AI stacks, consulting on business goals, and designing data plans to enhance model performance. This role involves managing projects, creating diagnostics, and ensuring the delivery of high-impact data strategies in collaboration with internal teams and clients.

The Lead Data Engineer will work with the Data Integration Services team focusing on Hadoop and Cloud data transformations. Responsibilities include modernizing legacy code and collaborating with business PMs, analysts, QA, and operations to enhance data processes and technologies.

As Head of Data Science, you will lead all aspects of data science including statistical methods and data analytics. You will oversee a team of data scientists, manage large complex datasets, and collaborate with product managers and engineering. Your role will enhance data-driven insights to inform decisions and drive product improvements.

The Data Intelligence Scientist will analyze customer and internal datasets to identify data gaps and quality issues, enhancing data-driven decision making in therapeutic discovery. Responsibilities include conducting data quality assessments, collaborating with teams for improvement, and integrating new data sources to support client needs.