Top Data Science Jobs in Montreal

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

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 Data Scientist will analyze user behavior, design experiments, create dashboards, and collaborate with cross-functional teams to drive business growth.

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.

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

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.

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.

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 specializing in Credit Risk, you will develop and apply mathematical models, manage credit risk analysis, and collaborate on projects while being a subject matter expert.

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

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.

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

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

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 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.

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

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.

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.

As a Senior Data Scientist, you will analyze complex datasets, form hypotheses on AI model performance, and collaborate with ML engineers to improve AI evaluation systems.

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