Top Data Science Jobs in Montreal

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 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.

Lead R&D data science projects from experimentation to production, using PySpark/Scala and ML to analyze listener behavior, develop explainable models, collaborate cross-functionally, document results, and present findings to stakeholders.

The Data Scientist will analyze business needs using advanced analytics, develop predictive modeling solutions, and provide data-driven recommendations, ensuring optimal model performance and stakeholder engagement.

As the Senior Data Scientist for AI & Model Risk, you will lead AI risk assessments, coordinate with stakeholders, evaluate AI system designs, and ensure compliance with risk management principles in financial services.

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.

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.

Build, deploy, and iterate predictive models and real-time scoring pipelines using behavioral and clickstream data to improve lead quality and campaign optimization. Collaborate with marketing, media buying, and analytics teams to translate business needs into hypotheses, perform exploratory analysis, monitor model performance, and communicate statistically rigorous insights to non-technical stakeholders.

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.

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.

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 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 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 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 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.

Proactively explore RevenueCat's data to identify product opportunities, translate ambiguous problems into analyses and production-grade predictive/descriptive models, partner with Product and Engineering to ship data-powered features (LTV prediction, experimentation, benchmarking), define statistical approaches, iterate on models in production, and communicate insights to technical and non-technical audiences.

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 in Business Intelligence, you will coach peers, create predictive models, and enable analytical tools while delivering business insights.

As a Senior Data Scientist, you will conduct statistical modeling, exploratory data analysis, and collaborate with product and engineering teams to integrate data science projects.

The Senior Data Scientist will lead data science strategy, develop models for lead qualification, fraud detection, and underwriting, and collaborate with product and engineering to enhance financial products.