Top Data Science Jobs in Montreal

As a Data Science Intern at Ericsson, you will support machine learning solutions, design dashboards, and collaborate on analytics projects while learning from experienced professionals.

The Data Scientist will develop and maintain machine learning models, conduct testing, and collaborate with clients for data-driven solutions.

The Data Scientist will analyze customer behavior, optimize product initiatives, and collaborate with cross-functional teams to drive revenue growth.

As a Data Scientist at Mistplay, you'll design and optimize the rewards economy, implement machine learning systems, and analyze strategies to enhance user engagement and business outcomes.

As a Data Scientist II, you will develop innovative solutions using machine learning, transform data into actionable insights, and collaborate across departments to enhance data-driven decision making.

As a Senior Data Scientist at Dropbox, you'll shape AI product strategies, collaborate with cross-functional teams, and leverage data insights to drive impactful decisions.

As a Data Scientist at Gameloft, you will analyze large player datasets and implement machine learning models to drive game revenue. Responsibilities include feature engineering, prototyping ML models, and contributing to experimental designs.

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.

As a Senior Data Scientist, you will influence product direction, collaborate with cross-functional teams, and leverage data analytics to drive AI product development.

The Data Scientist will design algorithms for insights, structure data, collaborate with machine learning engineers, and analyze datasets to improve workflow automation and product value.

The Staff Data Scientist will develop and refine statistical methodologies for marketing intelligence products while managing the full lifecycle from research to production integration.

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

The Data Scientist II will work with sports tracking data to build models and analyses for NHL and NBA organizations, focusing on data transformation and metrics development.

The Senior Geo Data Scientist will develop advanced machine learning models for geospatial data, build scalable data pipelines, and enhance model performance for mineral exploration.

The Data Scientist supports customer use of the Epistemix platform through data integration, modeling, and visualization, improving decision-making and customer satisfaction.

The Data Scientist will develop data labeling strategies, optimize datasets for LLMs, analyze data quality, and collaborate with engineering on data processing pipelines.

The Senior Data Scientist will develop machine learning solutions, provide strategic recommendations from data analysis, mentor team members, and collaborate across departments.

The Senior Data Scientist will build models and analyses, design experiments, integrate datasets, and leverage AI for improved workflows and insights in data science.

As a Staff Data Scientist, you will analyze large-scale broadband data, develop and validate ML models, and integrate solutions into Calix Cloud, collaborating with teams for enhanced network intelligence and subscriber experience.

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 Lead Data Scientist, you'll design experiments, build predictive models, and lead a team while shaping data-driven strategies to enhance AI deployments.

The Senior Data Scientist will analyze manufacturing data to improve quality and optimize processes through advanced analytics, with a focus on driving cost and waste reduction.

As a Senior Data Scientist, lead the development of machine learning and generative AI models to improve customer onboarding efficiency, while collaborating with teams and ensuring model performance.

The Senior Data Scientist will develop models and analyses for risk and revenue decisions, collaborating with various teams to optimize funding for eCommerce.