Top Data Jobs in Toronto

Design modular and scalable real time data pipelines, implement custom ML algorithms, work on microservice architectures for ML models, and collaborate with data scientists and engineers at StackAdapt.

Design and implement machine learning products for detecting digital and cyber threats, provide insights to stakeholders to protect client data, specialize in leveraging large data sets to explore new insights, apply machine learning and statistical modeling techniques, collaborate with various units to design innovative solutions.

Senior Data Developer role at Enable, a SaaS rebate management platform. Responsibilities include designing new ways of processing Enterprise scale data, introducing leading edge technologies, inventing complex big-data algorithms, and shaping processes within the engineering organization. Opportunity to work on a Series C rocket ship and collaborate with a hyper-talented team.

Hiring a Principal Data Scientist with expertise in machine learning and AI, and experience in developing production quality solutions with a business impact. Seeking someone with industry experience in Financial, Logistics, Supply Chain, or ERP sectors. Responsibilities include leading data-science projects, data preparation, modeling, and statistical analysis.

The successful candidate will turn data into information, information into insight, and insight into business decisions.

Senior Data Scientist role at RevenueCat to enable developers to make better decisions using unique data collected across the subscription ecosystem. Responsibilities include building predictive models, improving data pipelines, and contributing to data feature roadmap.

As the Team Leader, you will be responsible for managing the team's workload, implementing LEAN principles, fostering a positive work environment, and overseeing employee onboarding and training. You will also lead special projects and work closely with the director on team management and strategic objectives.

Lead the development of a scalable data science platform at Walmart Canada, utilizing Google Cloud Platform and machine learning algorithms. Collaborate with team members, provide guidance, create production-ready code, and interact with external stakeholders to share data science insights.

Seeking an enthusiastic Entry-Level Data Engineer with a focus on AI to assist in designing, building, and maintaining data infrastructure that supports artificial intelligence and machine learning initiatives. Responsibilities include data pipeline development, data integration, AI & ML support, data monitoring, and troubleshooting. Preferred skills include practical knowledge of programming languages, SQL, AI frameworks, big data technologies, cloud platforms, data modeling, and strong analytical skills.

Lead the design and development of a robust data architecture, serve as a data and analytics solution architect, establish standards for data modeling and integration, work on batch and real-time streaming infrastructure, collaborate with cross-functional teams to design data solutions, and improve customer satisfaction for internal customers.

Looking for an innovative and experienced Marketing Data Analyst to manage end-to-end reporting and analytics processes within the marketing team. Responsibilities include developing marketing reporting systems, measuring campaign effectiveness, providing data-driven recommendations, and ensuring data quality and governance. The ideal candidate should have 5-7 years of experience in marketing analytics, hands-on experience with Salesforce Sales Cloud, and proficiency in SQL queries.

Build and maintain scalable reliable data pipelines, optimize solutions for handling and analyzing time series data, work with Apache Spark and Apache Flink for large-scale data processing, handle relational and time series databases like Postgres, TimescaleDB, and InfluxDB, implement and manage workflows using Airflow, collaborate with data scientists to deploy and optimize machine learning models, monitor and improve data systems.

As a Senior Data Specialist at Corby Spirit and Wine Limited, you will be responsible for ensuring the quality, consistency, and accessibility of Sell-Out data to drive better data-driven decision making. You will oversee key data sources, platforms, and tools, educate users, and collaborate with internal and external partners to optimize data models and processes.

As a Senior Data Engineer at Viral Nation, you will design and maintain robust data pipelines, implement efficient data models, integrate data from various sources, optimize performance, enforce data governance, and collaborate with cross-functional teams.

Lead Data Scientist in the Rider team at Lyft, responsible for leveraging data to shape the rider app and make business decisions. Collaborate with various teams to translate data insights into actions, design experiments, and monitor product performance.

Revinate is seeking an experienced Data Engineering Manager to lead our Pipeline team responsible for building and maintaining a reactive microservices data pipeline processing millions of events daily from hotels worldwide. The role involves leading and coaching a team of data engineers, building and scaling high-volume cloud-native stream-processing pipelines, and driving cross-team technical improvements.

Revinate is seeking an experienced Data Engineering Manager to lead the Pipeline team. This team is responsible for building and maintaining reactive microservices to enable a highly-available data pipeline that processes millions of events, in real-time, each day, from thousands of hotels across the globe. The ideal candidate will have a passion for building a high-volume, cloud-native, distributed stream-processing pipeline and the ability to collaborate with others to drive technical and process improvements.