Top Data Jobs in Toronto

Lead Kraken's Data Platform team focused on real-time infrastructure for data systems, managing team dynamics, architecture design, and promoting AI automation.

Lead RWD analysis strategy and execution: develop technical specifications and statistical programs, perform complex observational analyses (propensity scoring, ML), validate cohorts/variables, ensure QC, collaborate cross-functionally, and communicate results to non-technical stakeholders.

The Data Systems Operations Lead will manage operations for Pyth's Price Feeds, ensuring flawless service through automation, incident management, and strategic improvements.

Lead and advise on data architecture and datastore designs, ensuring scalability and reliability, while managing cross-application projects and influencing technical decisions.

The VP of Data & AI Engineering leads Duck Creek's enterprise data and AI strategy, overseeing global teams, implementing scalable platforms, and ensuring data governance and responsible AI practices.

The Staff Data Engineer will architect scalable data systems, enforce engineering standards, mentor teams, and drive real-time analytics at Life360.

As a Data Scientist, you will develop analytical and machine learning solutions for credit risk, fraud detection, and customer segmentation, utilizing large datasets to drive insights and decision-making.

The Sr Consultant role focuses on leading client projects, managing data analysis, and developing the team's skills, particularly in Workday technologies and reporting.

As a Senior DevOps Developer, you will lead initiatives to design, implement, and maintain infrastructure for the data engineering and ML teams while ensuring reliable deployments and collaboratation with various technical teams.

The role involves developing innovative machine learning solutions, transforming datasets into insights, maintaining data tools, and collaborating across departments to promote data-driven decision-making.

As a Data Engineer at Relay, you will focus on building scalable data solutions, data modeling, and ensuring the reliability and security of data processes to support analytics and business intelligence efforts.

The Senior Data Scientist will design and deliver data science solutions, lead analytics initiatives, and mentor junior colleagues while driving data-driven decision-making across the OSC.

The Senior Data Engineer will develop scalable big data solutions, manage data pipelines, collaborate with teams, and optimize data systems for marketing and data science.

The Data Engineer will develop scalable big data solutions, collaborate with internal teams, and optimize data pipelines to support various business needs.

As a Senior Data Scientist, you will develop large-scale ML and GenAI products, manage project lifecycles, and collaborate with business leaders to solve complex problems.

As a Senior Statistical Methodology Data Scientist, you will lead innovative statistical approaches, provide guidance on study design, and support evidence-based decision-making in clinical development.

As a Senior Statistical Methodology Data Scientist, you will provide expert guidance on complex study designs and develop innovative statistical approaches to enhance evidence generation and decision-making across clinical development.

The Software Engineer will design and optimize large-scale data infrastructure, focusing on distributed systems and data processing for generative media models, collaborating closely with research scientists and enhancing multi-modal training pipelines.

Lead design and implement a scalable Medallion lakehouse on GCS and Databricks. Build and govern ingestion and transformation pipelines (Astro/Airflow, PySpark, Delta Live Tables), apply domain-driven data modeling, manage Unity Catalog access and lineage, collaborate with analytics and vendors, and proactively surface risks with clear documentation.

The Data Reliability Engineer will enhance the resilience and scalability of data infrastructure, focusing on automation and reliability. Responsibilities include managing data pipelines, operating Kubernetes clusters, and defining observability standards.

Lead the data and ML product vision: define roadmap, prototype models on noisy behavioral datasets, translate signals into user-facing features, partner with engineering to productionize ML, and generate insights to inform product roadmaps.

Lead large-scale technical initiatives on the Data Ingestion Team, focusing on building and operating distributed systems that process billions of events daily.

The Product Data Scientist will analyze user behavior, define product metrics, design experiments, and build dashboards to support data-driven product decisions.

The Principal Software Engineer will lead the integration of AI with a focus on developing data orchestration solutions, modernizing legacy systems, and enhancing web infrastructure for optimal performance.

The Associate Director of Data Sciences drives SOTI's AI and data strategy, develops AI capabilities, and mentors teams to enhance product efficiencies.