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 Staff Data Scientist will analyze large datasets, apply statistical modeling, design experiments, and collaborate with teams to enhance loan and payment products.

As a Data Scientist, collaborate with cross-functional teams to analyze user behavior and drive business growth through data insights.

The Staff Data Scientist will analyze large datasets, design A/B experiments, develop metrics and facilitate decision-making to enhance loan and payment products within the Cash App.

As a Data Scientist Intern, you'll analyze data, apply coding skills, and work with diverse data types to provide insights and recommendations.

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 Data Scientist will analyze customer data, develop machine learning algorithms, and collaborate with marketing teams to enhance audience understanding and improve strategic recommendations.

The Data Scientist will develop AI-driven solutions, conduct data analysis, and collaborate with teams on predictive modeling and machine learning to support data strategies. They will work with clients to understand their needs and provide data-driven insights based on solid analytics practices.

The Senior Data Scientist will analyze data to support decision-making, build models, design experiments, and collaborate with teams to drive insights and strategies.

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

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 datasets using SQL and Python, evaluate experiments, partner with ML engineers for model development, and communicate insights to stakeholders.

The Senior Data Scientist will research and develop solutions to data science challenges, deploy scalable systems, and maintain existing systems to enhance user experiences.

As a Senior Data Scientist, you'll partner with cross-functional teams to drive AI/ML impact, influence product strategy, and execute data-driven analyses and experiments.

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

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

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.

As a Data Scientist/Senior Data Scientist, you will drive predictive analytics innovation by designing, building, and deploying predictive models for donor behavior and engagement. You will work with large datasets and collaborate with teams to maximize data insights and develop new data collection opportunities.

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

The Senior Data Scientist will develop ML solutions, analyze data for actionable insights, and promote analytical practices across departments.

The Applied Data Scientist investigates complex data sets, collaborates with teams for data-driven solutions, and develops machine learning models.