Top Data Science Jobs in Montreal

Lead analytics and measurement for a Sales subdomain: monitor KPIs, investigate performance issues, design experiments, build data foundations and self-serve dashboards, use agentic AI to automate workflows, and communicate results to senior sales, finance, and operations stakeholders.

Lead analytics for a Sales subdomain: measure performance, investigate drivers, design experiments, and deliver end-to-end data science solutions. Build and maintain data foundations, self-serve dashboards, and communicate results to senior sales, finance, and operations stakeholders. Use agentic AI and modern GTM tooling to scale impact and improve decision-making.

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.

Founding Staff Data Scientist to build decision science from the ground up: design and deliver forecasting, optimization, experimentation, personalization, and recommendation systems; establish modeling standards, validation and deployment playbooks; mentor data scientists and integrate reusable decision workflows with the ML platform.

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

Use diverse data sources to evaluate product performance, build automated ETL/data workflows, design dashboards and KPIs, own data product quality, and provide analytical insights to guide product and business decisions while establishing monitoring frameworks and best practices.

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 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 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.

Perform product analytics by analyzing large datasets, running A/B tests, building dashboards, applying statistical methods and ML for forecasting and segmentation, and communicating insights to product, sales, and customers to drive adoption and product improvements.

The Staff Data Scientist will own the analytical strategy for Firefox, driving data-informed decisions through measurement frameworks, experiments, and user growth analysis, while mentoring other data scientists.

Embedded within a core business area, own end-to-end analytics: define problems, build metrics/reports, run analyses and experiments, surface insights, and drive data-driven recommendations to influence product, growth, AI, or partnerships.

Embedded on a business unit, define problems and metrics, run analyses and experiments, build reports, surface insights, and drive data-informed decisions across growth, product, AI, and partnerships.

Embed with a business unit to define problems, build metrics, run analyses and experiments, generate insights, and drive data-informed decisions end-to-end to improve growth, product, AI automation, or partnerships.

Embedded in a core business area, you will define problems, build metrics and analyses, run experiments, surface insights, and drive data-informed recommendations end-to-end to improve product, growth, AI/automation, or partnerships metrics.

Embedded on a business unit (growth, product, AI, or partnerships) to define problems, set metrics, build reports, run analyses and experiments, surface insights, make recommendations, and drive end-to-end execution to improve key business metrics.

Embedded on a core business team, own analytics end-to-end: define problems, build metrics and reports, run analyses and experiments, surface insights, and drive data-informed recommendations to improve growth, product, AI/automation, or partnerships.

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 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.

Lead data-driven strategy by partnering with senior executives to deliver rigorous analytical solutions. Design and implement sophisticated analyses on large-scale data, build trusted cross-functional relationships, mentor data scientists, and influence long-term product and business decisions.

Build statistical and predictive models to measure and optimize marketing, sales, and customer success impact on pipeline, bookings, ARR, retention, and expansion. Analyze paid media performance and conversion funnels, design experiments and causal measurement, forecast revenue, partner with cross-functional teams to define metrics, and communicate data-driven recommendations to senior leadership while improving measurement methodologies and data quality.

Lead a team of Data Scientists and Data Engineers to create data assets and insights, impacting game development and business strategy through analytics.

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

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.

Build and deploy end-to-end decision science systems (forecasting, experimentation, optimization, pricing, recommendations). Lead production-grade batch and real-time pipelines, partner with MLEs for deployment, drive domain impact, establish modeling standards, and mentor junior data scientists.