Top Data Jobs in Toronto

The Director of Data and Personalization at Knix will lead a team to develop data-driven strategies that enhance customer engagement and optimize loyalty programs across omnichannel platforms. Responsibilities include overseeing analytics tools integration, customer segmentation, marketing impact assessments, and reporting insights to executives while collaborating with cross-functional teams.

The Senior Data Analyst will facilitate strategic growth by analyzing marketing campaign performance, improving KPIs, and collaborating with leaders across functions. The role involves tracking ROI, conducting data deep dives, and optimizing marketing processes to enhance operational efficiency and inform investment decisions.

Exadel is seeking a highly experienced Senior AWS Developer to design and implement complex Data applications using AWS services, Spring framework, Apache Camel, Kafka, and SQL. Responsibilities include developing Java-based applications, real-time data processing, data transformation logic, and staying updated with industry trends.

In this role, you will develop strategic analytics to drive insights and guide business decisions at Wayfair. Responsibilities include A/B testing, modeling, dashboard creation, and collaboration with cross-functional partners to align data-driven strategies with business goals.

The ML Data Engineer will develop and maintain feature engineering pipelines using Databricks, manage ETL processes, and ensure optimized data quality and performance. Responsibilities include supporting the ML lifecycle, designing low-latency data pipelines, and collaborating with teams to align data transformation efforts with business needs.

As a Data Scientist at McAfee, you will analyze large datasets to profile and transform data while building customer 360° views. Your responsibilities include using SQL and Python for querying and data analysis, collaborating with stakeholders, and maintaining documentation of data processes.

As a Data Architect, you will lead the design and implementation of data architecture and models for IT projects, ensuring data quality and management principles are upheld. This role includes consulting on business requirements, providing technical guidance, and collaborating with other architects and IT teams to optimize data systems for performance and scalability.

The Guidewire Data Engineer will design and develop data models in Snowflake, optimize SQL queries, support claims management workflows with Guidewire Claims Center, and utilize ETL/ELT tools for data transformation. They will also build cloud-based data warehouses and leverage cloud platforms for data integration.

The Lead Data Scientist will develop machine learning models and data pipelines to mitigate cyber vulnerabilities, coordinate across teams to ensure optimal model deployment, and communicate insights to both technical and non-technical audiences.

In this role, you will lead a team of Product Data Scientists, guiding them to analyze complex operational and commercial data aimed at improving performance as Waymo scales its autonomous vehicle business. You'll work closely with senior management and other teams to align on strategic goals and resource allocation.

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 Data Analyst will develop queries and write code to analyze conventional and electric vehicle data, collaborating with internal Automotive Teams to create customer-facing data products. Responsibilities include identifying data visualization needs, developing SQL queries, creating dashboards, and ensuring optimal performance of the Geotab fleet.

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.