Top Data Science Jobs in Toronto

Python Data Analyst role focusing on geospatial analytics, NLP, and data analytics. Involves working with internal datasets, developing data processing/ETL, API development, and assisting with competitive use cases. Onsite in Toronto as a Temporary Contractor with 37.5 hours per week.

Seeking an enthusiastic Entry-Level Data Engineer with a focus on AI to assist in designing, building, and maintaining data infrastructure that supports artificial intelligence and machine learning initiatives. Responsibilities include data pipeline development, data integration, AI & ML support, data monitoring, and troubleshooting. Preferred skills include practical knowledge of programming languages, SQL, AI frameworks, big data technologies, cloud platforms, data modeling, and strong analytical skills.

Join StackAdapt as a Senior Data Scientist focusing on building models to predict and optimize internal business operations, customer acquisition, and revenue forecasting. Collaborate with internal teams to solve business problems through data science.

Build and maintain scalable reliable data pipelines, optimize solutions for handling and analyzing time series data, work with Apache Spark and Apache Flink for large-scale data processing, handle relational and time series databases like Postgres, TimescaleDB, and InfluxDB, implement and manage workflows using Airflow, collaborate with data scientists to deploy and optimize machine learning models, monitor and improve data systems.

As a Senior Data Engineer at Viral Nation, you will design and maintain robust data pipelines, implement efficient data models, integrate data from various sources, optimize performance, enforce data governance, and collaborate with cross-functional teams.

As a Data Scientist at Priceline, you will be responsible for building models using advanced analytics and data methodologies to drive decision-making based on the latest insights. You will work closely with various teams to operationalize models and improve product offerings through forecasting and monitoring key metrics.

As a Data Engineer at Walmart, you will be responsible for developing and maintaining data pipelines to support data science initiatives. You will work with a mammoth scale of data to create valuable data assets for retail analytics. Collaboration with Data Scientists, Analysts, and business stakeholders to solve complex challenges is crucial for evolving the retail business model.

Lead large-scale data projects, solve complex problems, deliver results that impact business, engage with stakeholders, mitigate risks, and mentor team members. Must have advanced degree in quantitative field and experience in data science.

Join Figment as a Senior Data Engineer to build and manage data pipelines, implement data modeling, and automate data processes. Collaborate with teams to improve data infrastructure and promote best practices in data engineering.

Seeking a Senior Analytics Engineer to lead the transformation layer of a data platform at a fast-growing fintech company. Responsibilities include developing scalable patterns, ensuring data discoverability, and collaborating with various teams. Must have 3+ years of experience in data engineering or analytics, expertise in SQL and Python, and strong relational database skills.

Lead Data Scientist / Applied Statistician with experience in sequential testing.

Seeking a Staff Analytics Engineer to lead the Core Data Infrastructure team in developing and executing a strategic vision for data platform, optimizing operational processes, leading projects, ensuring data security and quality, and embracing emerging technologies. Requires 5+ years of experience in analytics & data engineering, proficiency in Python and SQL, strong leadership and communication skills, and deep knowledge of data warehousing concepts and big data technologies.

Publicis Canada is seeking a skilled Data Engineer to design, build, and maintain data infrastructure. Responsibilities include developing data pipelines, optimizing data models, ensuring data integrity, and collaborating with stakeholders. Qualifications include a Bachelor's or Master's degree in Computer Science, 1 year of professional experience, strong programming skills, and proficiency in SQL and big data technologies.

The Senior Data Scientist at Sensor Tower will leverage digital advertising knowledge to drive strategies that improve the accuracy and offerings for the Digital Marketing insights solution. Responsibilities include developing data modeling algorithms, bringing data models to production, consulting on the use of AI, and acting as a subject matter expert for digital advertising.

As a Senior Data Scientist at StreamElements, you will create innovative analytic and software solutions to solve business problems. Responsibilities include driving strategic projects, designing and executing multi-disciplinary data science solutions, partnering with business leaders, furthering technical capabilities, and promoting an inclusive environment within the team.

Lead and enhance data lake platform, develop long-term data architecture standards, create tactical solutions for data management, analyze and implement Big Data technologies for business intelligence, and drive projects merging digital and transactional data for analytics.

Lead, EV Data Intelligence supporting EV team in analyzing and developing insights from vehicles, charging, and energy data. Responsible for developing data sources, data architecture, and tools to support EV product development and operations. Engage with cross-functional teams for data consistency and processing solutions.