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.

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

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.

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

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 Senior Data Scientist in Risk & Fraud will analyze data, build models to evaluate customer behavior, and develop metrics to drive business strategy.

The Senior Data Scientist will analyze large datasets, collaborate with cross-functional teams, and design experiments to enhance risk and fraud strategies.

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 Senior Data Scientist will leverage data-driven insights to guide product roadmaps, build foundational tools for AI/ML growth, and communicate findings effectively to influence business decisions.

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

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

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

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.

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

The Data Scientist will analyze LLM search data, define core metrics, run experiments, build predictive models, and collaborate with teams to enhance product strategy and marketing effectiveness.

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.

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

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.

The Senior Data Scientist will optimize customer onboarding using machine learning and generative AI, design models, and collaborate with engineering.

The Senior Data Scientist will lead advanced data analysis, develop AI applications, manage model lifecycles, and collaborate with cross-functional teams to drive strategic insights in a remote setup.

As a Senior Data Scientist, analyze large datasets to uncover insights on AI model behavior, design experiments, and build statistical frameworks for evaluations.