Top Data Science Jobs in Toronto

As Director of Data Science, you will lead a team to enhance data practices, drive analytics strategy, and collaborate with leadership across Square and Block.

As an Applied Scientist at Delphina, you will automate ML workflows by transforming research into production-ready solutions, partnering with customers to ensure their success, and working independently to innovate and improve the product. You'll also engage in feature engineering, deep learning, and production ML use cases, contributing to the direction and outcomes of the team.

As the Biostatistics Leader in Neurology, you will provide strategic leadership and oversee Biostatisticians, ensuring delivery of data analysis and insights across late-stage development. Your role includes developing strategies, fostering internal and external partnerships, and driving excellence in study design and analysis while supporting a high-performing global team.

The role involves optimizing machine learning algorithms for mobile app user acquisition. Responsibilities include developing production-grade ML models and collaborating with data engineers and scientists to enhance advertising effectiveness and metrics.

The Senior Digital Performance Analyst will analyze various data sources, develop performance tracking reports, and make recommendations to enhance the performance of Intact’s web and app products. This role involves collaborating with Design & Product teams and presenting reports to stakeholders, focusing on data-driven decision making.

The AI Business Analyst will evaluate AI technologies to align with business goals, conduct competitor analyses, optimize workflows, collaborate on innovative solutions, and generate reports and presentations.

As a Sr. Data Scientist at Instacart, you'll own analytical frameworks, design experiments, develop statistical models, and enable decision-making through data democratization while collaborating with cross-functional teams to drive product improvements and influence leadership findings.

The Manager, Data Science leads the design and delivery of machine learning prototypes, collaborating with data engineering and digital teams to craft data-driven solutions. Responsibilities include managing the project pipeline, developing machine learning models, ensuring data quality, and mentoring team members. This role reports to the Director of Data Science and Analytics and supports various internal stakeholders.

The Data Science Lead will manage and inspire a team of data scientists and machine learning engineers while ensuring quality and scalability of outputs. Responsibilities include developing best practices, providing technical oversight, and fostering a culture of collaboration and innovation within the team.

The Director of Data Science leads a team, provides project oversight, and leverages big data for actionable business solutions at Visa.

Lead a high-impact team of data scientists, designing experiments, building machine learning models, generating insights, and mentoring team members to enhance client experiences and drive product growth.

As a Staff Data Scientist at Square Banking, you will establish expertise in loan architecture and drive decision-making by collaborating with various teams to enhance loan products. You'll define metrics for success, expand credit eligibility, and develop data solutions to improve analytics and user experience for Square Loans.

As a Senior Data Scientist at Braze, you will collaborate with Product Managers and Engineers to enhance customer engagement using machine learning solutions. You will analyze vast data sets, build predictive models, and iterate on machine learning frameworks to drive data-informed decision-making for clients.

As a Staff Data Scientist at Square Banking, you'll leverage data solutions to enhance loan products, influence product roadmaps, collaborate with cross-functional teams, and define metrics for success while establishing expertise in the loan process from underwriting to recovery.

Lead the end-to-end development of ETL data pipelines, tools, and dashboards, collaborating with product and engineering teams to drive data initiatives.

The Director of Wealth Data Science leads advanced analytics initiatives using machine learning and big data technologies to derive insights, develop predictive models, and optimize business processes. The role emphasizes collaboration across teams, innovation in data strategies, and driving data-driven decision-making to enhance customer experience and market competitiveness.

The Senior Director Analyst will conduct research and analysis in AI and Data Analytics, advising clients on market trends and best practices. The role involves creating high-value presentations, mentoring team members, and supporting sales initiatives. The analyst is expected to lead impactful research that addresses critical questions and drive demand for Gartner’s services.