Top Data Science Jobs in Montreal

The candidate will conduct research and provide insights on AI from a cybersecurity perspective, helping clients navigate challenges and making strategic recommendations.

Lead a high-impact team of data scientists, designing experiments, building machine learning models, generating insights, and mentoring team members to enhance client experiences and drive product growth.

As a Senior Data Scientist, you'll drive the AI-first mission at Dropbox, building data foundations, executing AI/ML projects, and influencing product roadmaps through data insights.

Responsibilities include designing and analyzing survey studies, conducting statistical analysis, and collaborating with teams to deliver insights on consumer satisfaction.

The Data Scientist will partner with various teams to design experiments, apply statistical techniques, and build machine learning models to influence product development and business decisions. Responsibilities include creating data models for analytics, applying software best practices, and communicating insights with stakeholders.

Lead the Data Science team and manage analytics partnerships. Responsibilities include data modeling, machine learning, and ensuring data quality for decision-making.

The Data Science Lead develops and validates statistical models to measure marketing effectiveness and communicates insights to clients, utilizing advanced analytical techniques and collaboration.

Lead the development of statistical models and perform data analysis to drive revenue growth and support business decision-making, collaborating closely with various teams.

Assist with data analysis, process documentation, and digital tool development to support engineering projects while gaining hands-on experience.

The Senior ML Data Scientist will develop machine learning solutions to enhance user experience, create self-learning systems, analyze data, and collaborate with cross-functional teams.

Lead Credit and Data Science functions for Empower's international businesses by developing risk models, credit policies, and collaborating with cross-functional teams.

The Principal Data Scientist will lead data science initiatives, analyze large datasets, construct machine learning models, and mentor junior scientists while collaborating cross-functionally and staying updated on AI trends.

The Data Scientist will develop and implement advanced analytics and AI solutions, enhance user experience, and provide actionable insights for small businesses.

The Data Scientist will develop insights from user behavior, validate hypotheses through A/B testing, and build dashboards to track product metrics, collaborating with various teams to shape the product direction.

The Senior Data Scientist will lead the optimization of ML algorithms, develop production-grade models, and enhance advertising effectiveness using statistical insights.

Lead Data Scientist responsible for overseeing analytics projects, mentoring team members, developing predictive models, and collaborating with stakeholders to enhance business performance through data-driven insights.

The Data Scientist will develop predictive models and machine learning strategies to enhance customer acquisition and retention, collaborating with teams to implement analytics solutions that improve business performance.