Top Data Science Jobs in Toronto

Work as a Senior Data Engineer at Badal by TELUS, a GCP consulting company based in Toronto. Responsibilities include working with technical leads and clients to demonstrate GCP technology benefits, designing data pipelines, solving high-scale data problems, and supporting clients in troubleshooting issues. Must have GCP experience, expertise in Dataflow or Spark, programming skills in Python, Java, or Scala, and experience with modern data architecture and GCP services. Nice to have experience with streaming technologies and data governance tools. Looking for passionate team players with strong communication skills and a client-focused mindset.

Join Lyft as a Data Engineer to develop robust data infrastructure, design insurance data pipelines, and collaborate with internal and external teams for informed decision-making. Leverage data expertise to refine models and drive innovation.

Building predictive and optimization models to guide company resourcing decisions, supporting company financial health, making data science modeling accessible to non-experts, and implementing forecasting algorithms for revenue planning. Collaborating with data engineers to implement ML algorithms in production.

As a Data Engineer at Outschool, the role involves leading data modeling and system design for the product and data backends. Responsibilities include building data models for analytical, operational, and customer-facing purposes, ensuring data quality and validity, and integrating data sources into an effective platform.

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.

As a Senior Analytics Engineer at theScore, you will work with stakeholders to leverage data for decision-making, develop dbt models, manage Airflow tasks, provide data insights, and contribute to the overall data strategy. Requires 4+ years of analytics experience and proficiency in SQL, dbt, Looker/Tableau, and Python.

Seeking a Data Engineer to design, develop, and maintain data solutions for analytics and business purposes. Responsibilities include data integration, processing, retrieval, and transformation to enable valuable insights for decision-making. The role requires collaboration with cross-functional teams to enhance data solutions leveraging modern tech stack.

Seeking an experienced Data Engineer with expertise in Dataiku to design, build, and maintain data pipelines, integration processes, and infrastructure. Collaboration with stakeholders for efficient data flow and support data-driven decision making.