Top Data Jobs in Toronto

As an Entry-Level AI Data Rater, you will conduct research on e-commerce data, evaluate product filters and results, and rate data according to specific guidelines. This is a flexible freelance position offering learning support and opportunities in the AI field.

As a Lead Data Scientist, you will design and implement advanced machine learning models, collaborate with teams to enhance data quality, monitor model performance, and innovate with new technologies. You'll work with big data and cloud technologies while ensuring effective communication and documenting processes.

As a Senior Data Quality Specialist, you will label, rank, audit, and correct machine learning data with a focus on science, logic, and math-related content. This part-time contract position requires a commitment of 20 hours per week at $30/hour. BYOD - Bring Your Own Device. Performance incentives included.

As a Principal Data Analyst, you'll transform large datasets into insights, architect analytical solutions, mentor analysts, and collaborate with product managers and engineers to derive actionable insights. You'll also conduct complex data analyses and use visualization tools to communicate insights effectively.

The Data Scientist III role involves applying data management principles, advanced statistical methods, and machine learning techniques to solve business problems. Responsibilities include developing and validating analytical models, deploying them in production, conducting exploratory data analysis, and creating data visualizations. The position also requires translating business challenges into data-driven solutions and mentoring junior associates.

The Senior Data Analyst will lead data-centric projects, analyze complex datasets to uncover business insights, and communicate findings effectively to stakeholders. This role requires collaboration with product managers and engineers to ensure proper data management and governance, and to develop strategies for leveraging data to enhance business outcomes.

As a Data Engineer III at Sam's Club Tech, you will design and implement low-latency REST APIs using Java or Scala, manage backend services for advertising, and work on scalable data pipelines. Responsibilities also include developing APIs for on-demand reporting, troubleshooting production issues, and utilizing modern architectures like microservices and serverless frameworks.

The Senior Data Engineer will lead small teams to develop scalable data solutions, ensuring project requirements are met through technical direction, collaboration, and adherence to best practices. Responsibilities include overseeing complex projects, conducting testing, implementing architectures, and driving efficiency.

As a Data Engineer III, you will design, develop, and implement data pipelines and integration solutions using Spark, Scala, and Google Cloud Platform. You'll collaborate with teams to ensure data quality, optimize data workflows, and monitor data pipelines for reliability while helping analysts and data scientists access necessary data sets.

The Data Engineer will design, develop, and maintain SQL data warehouses, optimize stored procedures, build reports using SSRS, create dynamic dashboards with Superset, and manage data pipelines via Airflow for data integration and automation.

The Data Engineer will build and optimize data pipelines and architectures in the cloud for international clients. Responsibilities include data warehouse development, ETL/ELT infrastructure management, building scalable data models, and ensuring data governance and security. Acting as a key collaborator with cross-functional teams, you'll enhance performance and operational efficiency.

The Data Analyst at KINESSO will develop and utilize predictive modeling and advanced measurement techniques while collaborating with client planners and data providers. Responsibilities include creating ETL processes in SQL, developing dashboards with Tableau, conducting analyses with Excel and Python, and collaborating to identify business needs to provide actionable insights.

The Data Scientist will build models, forecasts, and simulations to enhance sports betting and iCasino products, utilizing machine learning and statistical methods. Responsibilities include conducting AB tests, developing data pipelines, collaborating with engineering teams, and communicating findings to stakeholders.

As a Senior Data Analyst at Mission Lane, you will drive analytical outcomes for the Customer Growth team by analyzing campaign performance and implementing data-driven strategies that enhance decision-making. You will automate data processes, improve analytics systems, and provide insights to both technical and non-technical teams, ensuring high-quality results in data-driven decisions.

As a Senior Data Engineer, you'll design, build, and maintain scalable data pipelines in cloud infrastructure, collaborating with teams for data analytics and machine learning projects. Your role includes developing ETL pipelines, optimizing SQL performance, and working with both relational and NoSQL databases.

As a Data Scientist, you will monitor and deploy models, design predictive models, collaborate with teams for data pipeline enhancements, and ensure model deployment aligns with business needs. You will also lead projects, communicate progress with stakeholders, and contribute to improving business processes.

As a Data Engineer, you will develop and maintain data ingestion adapters for blockchain networks, implement data ingestion strategies, optimize latency, and collaborate with upstream data sources. You will perform data quality checks and adapt to a dynamic remote work environment.