Top Data Science Jobs in Montreal

As a Staff Data Scientist for Dropbox's AI Products, you will define the mission, guide teams, influence product direction, and work with cross-functional teams to drive AI/ML capabilities.

The Staff Data Scientist will analyze user behaviors and drive business impact through analytics, experimentation, and collaboration across teams.

As a Staff Data Scientist, you will lead A/B testing, reporting, and analysis for the Financial Platform, focusing on optimizing payment systems and building data products.

The Data Scientist will develop automated risk monitoring capabilities and key risk indicators, collaborating with teams to enhance decision-making and risk management. Responsibilities include analytics, metric development, and communicating findings to stakeholders to improve risk controls.

The Data Scientist - Risk role involves developing key risk indicators and metrics, automating risk monitoring, and collaborating with cross-functional teams to analyze product risk.

Looking for a Staff Data Scientist to support the Financial Platform team, focusing on A/B testing, reporting, analysis, and automation of financial services.

Analyze large datasets to provide actionable insights, design experiments, communicate findings, and lead cross-functional projects in a growth-focused data science role.

As a Senior Data Scientist for Bitcoin at Block, you'll drive product strategy, analyze experiments, and build data tools to enhance bitcoin adoption across Cash App and Square.

The Senior Data Scientist will analyze user behavior, drive product improvements with AI features, and communicate insights to influence business decisions.

Lead advanced analytics and experimentation, design A/B tests, develop predictive models, and mentor team members to improve product strategy and customer experience.

The Staff Data Scientist will enhance Bitcoin adoption through data analysis, collaboration with teams, and building data foundations for product growth.

The Senior Data Scientist will support Block's AI, Data, and Analytics team, focusing on payment analytics, A/B testing, and strategic analysis to optimize financial services.

The Data Scientist supports customer use of the Epistemix platform through data integration, modeling, and visualization, improving decision-making and customer satisfaction.

The Data Scientist II role involves developing solutions using machine learning, transforming data into insights, collaborating with other teams, and ensuring data quality standards.

The role involves analyzing large datasets with SQL and Python, designing experiments, visualizing data, and influencing product strategies to drive business growth.

The role involves establishing expertise in payment rails, influencing product roadmaps, building data products, and partnering with leadership to drive data-driven financial impact.

As a Staff Data Scientist, you will develop ML models and analyze broadband data to enhance network intelligence and subscriber experience at Calix.

As a Data Scientist at Sardine, you'll design and deploy data-driven solutions to prevent fraud, collaborating with clients and engineering teams to build and optimize machine learning models.

The Data Scientist will solve real-world problems utilizing data science techniques and build end-to-end data pipelines, collaborating with multiple teams to deliver solutions.

The role involves leveraging data analytics to drive decision-making across product and growth teams, analyzing user engagement, designing experiments, and building scalable data frameworks.

As a founding Data Scientist/Machine Learning Engineer, you'll develop AI/ML models, enhance product capability, and drive impactful user outcomes while working closely with product teams.

Analyze and optimize pricing, billing, and deployment metrics. Collaborate across teams to ensure data-driven decisions and improve enterprise readiness and cost efficiency.

The Junior Data Scientist will design and develop data models using Machine Learning and Analytics for trading and compliance in finance.

The AI-First Data Scientist will design and deploy ML solutions, conduct causal analysis, and partner with business leaders to drive AI integration into decision-making.

Lead Data Scientist responsible for driving measurable outcomes through experiments, data analysis, and creating metrics to track performance. Collaborate with engineering for productionizing models and enhancing recommendation systems using AI technologies.