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Top Data Science Jobs in Toronto
As the VP of Data, you will lead the data department, define long-term strategies, drive innovation in data practices, and ensure alignment with corporate goals. You'll manage teams across data engineering, analytics, and science to foster a data-driven culture and guide the organization in utilizing data for impactful decision-making.
As a Data Consultant at Kainos, you'll lead teams to identify and articulate data opportunities for clients, enhancing their digital transformation. You'll engage with stakeholders, run workshops, and ensure the alignment of data solutions with business goals, while managing key customer relationships and delivering within project constraints.
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 the Director of Data Quality, you will lead and mentor the QA team, implement and optimize QA policies, drive process improvements, and align QA objectives with business strategies to ensure the highest quality training data for generative AI applications.
As the Director of Data Quality at Labelbox, you will lead a QA team, design and implement QA policies, apply advanced QC methods, and drive process improvements. You will analyze quality metrics, align QA objectives with business strategies, and represent QA in client meetings while ensuring compliance with industry standards.
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 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 Senior Data Scientist at Cash App, you will analyze large datasets to derive actionable insights, work on statistical modeling, evaluate A/B experiments, and collaborate with engineering teams on data integration and visualization. Your role focuses on enhancing the advertising growth through data-driven strategies in a fast-paced environment.
Featured Jobs
As a Senior Data Scientist, you'll own marketing holdout reviews, build models to optimize marketing ROI, design A/B experiments, analyze large datasets, influence marketing roadmap decisions, and create impactful data visualizations while collaborating with cross-functional teams to drive user acquisition efforts.
As a Senior Data Scientist in Lifecycle Marketing, you will leverage data science to enhance Cash App's marketing strategies. Responsibilities include optimizing marketing efforts through model building, analyzing A/B experiments, processing large datasets using SQL and programming languages like Python, and creating insightful visualizations. Your role will impact decision-making and influence the marketing roadmap based on data-driven insights.
The Senior Data Scientist will lead the development and implementation of advanced AI solutions, focusing on building cloud-native AI systems and algorithms that drive business value. Responsibilities include designing models, conducting research, collaborating with teams, and ensuring the quality and accuracy of AI processes from data acquisition to deployment.
As a Staff Data Scientist at Square Banking, you'll analyze and develop strategies for loan products, collaborating with cross-functional teams to enhance product offerings and optimize user experiences, impacting the way businesses obtain funding.
The Senior Data Scientist will analyze payments and risk data to enhance Gusto's products and build secure platforms. They'll collaborate with cross-functional teams, build predictive models, and communicate data insights to stakeholders.
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 Manager, Data Science leads a team in designing and implementing data science prototypes and machine learning models for the Commercial Organization at Four Seasons. Responsibilities include managing project pipelines, ensuring data quality, mentoring team members, and collaborating with internal stakeholders while adhering to technical standards.
As a Senior Data Scientist, you will leverage your analytical and technical skills to analyze user behaviors, design experiments, and collaborate with various teams to inform product strategy and feature launches. You'll be responsible for developing a deep understanding of key metrics and contributing to a data-driven culture at Thumbtack.
As a Senior Data Scientist in the Commercial Strategy team, you will analyze data to guide strategic decisions, design experiments to measure the impact of projects, and make data-driven recommendations for the company’s growth initiatives. You'll also collaborate across teams to build expertise in the platform and present insights to stakeholders.
The Staff Software Engineer will lead R&D for data science-powered products, collaborate with engineering and product teams to move concepts to production, and provide technical expertise to stakeholders. Responsibilities include implementing data science solutions and educating team members on using data in marketing.
The Data Science Lead - GenAI is responsible for leading the development and deployment of advanced machine learning solutions, particularly focusing on Generative AI models. This role involves designing ML models, collaborating with cross-functional teams, evaluating model performance, and ensuring seamless integration of ML models into production systems.
The Director of Data Science at TripleLift will lead the Data Science team to develop advanced machine learning models for real-time bidding and traffic optimization. Responsibilities include defining the strategic vision, mentoring team members, driving research initiatives, and collaborating with engineering for production model deployment.
Wealthsimple is seeking a Senior Data Science Manager to lead a team responsible for data-driven product strategy and analytics. Responsibilities include managing partnerships with product teams, developing machine learning models, maintaining data quality, and creating integrated data models for analytics.
As Head of Data Science, you will lead data science initiatives and manage a team of data scientists. You will apply advanced analytical methods to large datasets, deliver data-driven insights, and collaborate with product managers and engineering teams to improve products and customer experience.
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 of Marketing Data Science will lead the strategic roadmap for marketing analytics, collaborating with stakeholders to analyze complex marketing datasets and drive business growth. Key responsibilities include optimizing marketing efforts, implementing measurement plans, and providing insights for campaign performance and return on investment.
As the Manager of Data Science & Engineering at Loblaw Digital, you will lead a team focused on budget optimization and forecasting in advertising. Responsibilities include developing algorithms, automating audience segmentation, optimizing ad spend, and collaborating with cross-functional teams. You'll also establish best practices and mentor team members.
Top Toronto Companies Hiring Data Scientists
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