Top Data Science Jobs in Toronto

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.

The Director of Data Science at Visa will lead a team of analysts, guiding them in developing actionable solutions using big data and advanced analytic techniques. They will oversee various R&D and data governance projects, inspire quality in reports, and collaborate with cross-functional teams to tackle meaningful business challenges.

The Data Scientist Associate will analyze key metrics, conduct data analyses, and collaborate with various teams to enhance business strategies and improve experiences for partners and merchants. Responsibilities include statistical modeling, data visualization, and developing analytics solutions for decision-making processes.

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.

The Senior Data Scientist will work with engineering and product teams to analyze user behavior, optimize products, and drive revenue growth. Responsibilities include conducting deep-dive analyses, developing segmentation strategies, creating dashboards, and collaborating with cross-functional teams to inform strategy and experimentation.

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 Data Science Intern will develop custom ML, NLP, and LLM models, evaluate their performance, assist in their deployment, and maintain documentation while collaborating on cutting-edge research in Gen AI. They will troubleshoot issues and adhere to best practices in model development.

As part of the CIBC Regulatory Data and Reporting team, the Consultant is responsible for delivering data analytics consulting advice, supporting senior management with insights for decision-making, performing analyses to identify opportunities, and enhancing reporting systems. The role involves strategic thinking to manage data projects, fostering relationships with partners, and tracking performance metrics.

The Data Science Manager at Stripe will oversee and lead a team of data scientists, managing the roadmap and enhancing data-driven decision making across the company. Responsibilities include mentoring team members, collaborating with various stakeholders, and contributing to data science initiatives. The role requires strong technical expertise and effective communication skills.

As a Senior Data Scientist on the Operations team, you will analyze data to inform business decisions, design experiments, track KPIs, and collaborate with various teams. You are expected to build reports and insights for strategic initiatives and improve operational efficiencies through data-driven techniques.

The Data Scientist at Square Point of Sale will leverage statistical, machine learning, and data engineering techniques to inform decision-making for a unified point of sale product. Responsibilities include collaborating with cross-functional teams, applying diverse data techniques, communicating insights, and resource development for data access.

As a Principal Data Scientist, you will extract and analyze data, build and maintain machine learning models, and design data visualizations. You will optimize business strategies through experimentation and explore the impact of new technologies in banking.

The Senior Data Scientist will analyze large datasets to generate insights, collaborate with the FinPlat team, design A/B tests, process data efficiently, create dashboards, and communicate findings to stakeholders. This role focuses on understanding customer behavior and improving product features.

The Data Scientist will generate insights from multi-omics datasets, build data analysis pipelines, collaborate with lab scientists, and utilize advanced analytical methodologies. The role requires proficiency in programming and the ability to contribute to innovative projects in cell health and genomics.

As a Senior Data Scientist at Cash App, you will analyze large datasets, provide actionable insights, design experiments, and work cross-functionally to improve customer experience and drive advertising growth. You will utilize SQL and scripting languages, build dashboards, and communicate findings to stakeholders.

As a Senior Data Scientist, you will leverage your experience in applied data science and machine learning to support technology strategies and optimize programmatic efficiency. Key responsibilities include designing, developing, and implementing data-centric solutions while collaborating with engineering teams to enhance performance metrics.

As a Staff Data Scientist at theScore, you will design and implement innovative personalization strategies to enhance user engagement for ESPN Bet. You will lead data science projects, work with cross-functional teams, and leverage advanced data science techniques to deliver impactful solutions. Strong modeling skills and a deep understanding of personalization engines are essential.