Top Data Science Jobs in Montreal

Produce authoritative research on cryptocurrencies, coordinate with research partners and teams, analyze trends, and manage projects effectively.

The Data Scientist will analyze multi-omics data, develop methods for data extraction and analysis, and collaborate with scientists to enhance data usage and insights.

Lead marketing analytics initiatives by defining goals for attribution and campaign performance, analyzing data insights, and ensuring alignment with business objectives.

Lead the fraud and risk data science team transforming risk data into real-time decisions. Manage POCs, optimize decision systems, and collaborate with various teams to enhance fraud prevention efforts.

Lead the Data Science and Analytics team to enhance vehicle positioning and demand forecasting through machine learning and optimization. Collaborate cross-functionally and drive data science initiatives to optimize fleet operations.

Lead a data science team focused on monetization, balancing business and user trust through data-driven insights and collaboration.

As a Data Scientist, you will drive user growth through data-driven strategies, A/B testing, and process automation. You'll collaborate with cross-functional teams to enhance performance insights.

Lead the design and implementation of cutting-edge AI models for speech recognition and text-to-speech, optimizing large language models through collaboration with cross-functional teams.

The Data Scientist will develop and deploy algorithms for fish farms, focusing on data analytics, model building, and collaboration with engineers.

As a Data Scientist, you will develop data science solutions and machine learning models, collaborating with teams to solve business challenges.

As a Senior Data Scientist, you will build Blackpoint’s data science solutions for A.I. products, executing model development, feature engineering, and implementing best practices to drive results in cybersecurity operations.

The Senior Data Scientist role focuses on optimizing live Reinforcement Learning and Causal ML models, collaborating with engineering teams, and creating diagnostic tests.