Top Data Jobs in Toronto

The Data Scientist will lead projects using quantitative analysis and data modeling, providing insights for strategic decisions. They will collaborate with various teams to monitor performance metrics, integrate new data sources, and prepare executive-level communications, cultivating a data-driven culture within the organization.

As a Senior Data Engineer (Reasoning ML) at a company specializing in autonomous vehicles, you will be responsible for creating and curating datasets for training and evaluating ML planner components. You will build effective data analysis tools, work on ML model development, and actively participate in operational support for the team. Responsibilities also include developing data pipelines, implementing metrics, leveraging the Oxa Metadriver™ platform, and contributing to hiring and onboarding new team members.

The Senior Data Scientist will leverage expertise in Data Science and AI to design and build advanced analytics engines. Responsibilities include developing analytical models, collaborating with cross-functional teams, and ensuring business value through effective communication of results.

As a Data Analyst, you will enhance operational efficiency by improving the Data Analytics stack, while working on reducing query times, solving data-related issues, and building data models. You'll present analyses and insights to stakeholders and mentor junior analysts, while staying abreast of trends in media and sports betting.

As a Senior Game Data Analyst, you will analyze data to deliver insights that enhance game design and revenue. Collaborating with stakeholders, you will define KPIs, ensure data quality, and translate business needs into technical requirements, while overseeing the analytics processes for PlayStation Studios.

As a Senior Data Analyst at Jane, you will lead analytical projects and collaborate with cross-functional teams to deliver insights that empower decision-making across the organization. Your role will involve mentoring junior analysts and enhancing data transparency and accuracy, focusing on making data-driven choices for healthcare practitioners.

As a Data Scientist at StackAdapt, you will innovate and implement machine learning algorithms to optimize advertising performance, write production code, and test algorithms using historical data to drive improvements. Collaboration with data engineers and a strong understanding of statistics and optimization is essential.

The Data Science Lead will manage data science projects, enhance and monitor the digital twin model's accuracy, and collaborate with cross-functional teams to translate business needs into analytical solutions. The role involves guiding data strategy, developing performance metrics, and mentoring team members to foster innovation.

As a Data Engineer at StackAdapt, you will design scalable real-time data pipelines and implement custom machine learning algorithms. You'll collaborate with data scientists and engineers, working on microservice architectures for training and inference of ML models, tackling complex problems for an innovative digital advertising platform.

The Data Analytics role involves transforming data into insights to inform business decisions. Responsibilities include conducting lifecycle analysis, developing reporting capabilities, and monitoring performance for quality improvement.

As a Data Scientist, you will analyze large data sets to identify opportunities for optimization and test the effectiveness of various actions. You will develop algorithms and data models, apply data mining techniques, and conduct statistical analyses to create high-quality predictive systems.

As a Data Architect, you will design and implement scalable data architecture solutions, develop data models, create ETL processes using Azure Data Factory, optimize Azure SQL Database and Google BigQuery, and establish data governance policies in collaboration with cross-functional teams.