Top Data Jobs in Toronto

The Senior Analyst ensures success by measuring digital campaign performance, generating insights, and optimizing media strategies through analytics and data management.

The Lead Data Scientist will oversee projects, develop ML models, collaborate with cross-functional teams, and mentor junior data scientists to enhance fleet management analytics.

The Senior Data Scientist will analyze product metrics, write SQL queries, create visual reports, and collaborate across teams to enhance data-driven decisions and products.

The Senior Data Engineer will design and manage data pipelines, working with both structured and unstructured data to enhance enterprise data governance and support analytics and data science efforts.

The Staff Data Scientist/Machine Learning Engineer will work on personalization, recommendation systems, and contribute to strategy, model development, and product impact using machine learning techniques.

As a Senior Data Scientist, you'll develop ML models to optimize costs, assess creditworthiness, enhance retailer growth, and improve product listings, collaborating with engineers and PMs to leverage marketplace data.

As an Associate Data Scientist, you'll develop analytical solutions, maintain pricing algorithms, and implement predictive models for insurance. Engagement with pricing models and business insights is key.

Design and develop data models in Snowflake, implement ETL processes, and support Guidewire Claims workflows with SQL querying and cloud integration.

The Data Engineer will gather, curate, and analyze large datasets, ensuring quality and integrity, while communicating insights to stakeholders through visualizations and reports.

The Data Senior Analyst will analyze and develop application systems, enhance data solutions, provide insights, and support users while collaborating with various teams.

As a Senior Data Quality Engineer, you will ensure data integrity across trading systems by implementing automated data quality checks and collaborating with various teams. You'll analyze data quality issues, optimize pipelines and utilize AI for anomaly detection, contributing to compliance and operational efficiency.

The Data Analytics Lead Analyst will perform complex data analytics, create visualizations and dashboards, automate reporting processes, and enhance efficiency within the Internal Audit transformation team.

The Senior Data Scientist will lead data science efforts, driving machine learning and optimization strategies, and developing complex data solutions to enhance programmatic efficiency.

The Senior Data Architect will design and support enterprise data architecture, collaborate with teams, and manage data governance and quality.

The Senior Data Engineer will design and manage scalable data architectures, optimize databases, and ensure data accuracy while collaborating with various teams to support data-driven strategies.

The intern will develop, evaluate, and deploy ML models using NLP, Gen AI, and LLM techniques while collaborating with data science and MLOps teams.

The Data Science Manager leads a team, drives project roadmaps, oversees model design, and collaborates with various stakeholders to enhance data-driven decision making.