Top Data Science Jobs in Vancouver

This role leads the product management of Mastercard's Business Identity Registry, focusing on data assurance, system design, and cross-functional execution to enhance trust and security in digital transactions.

The Senior Product Manager for AIOps at PagerDuty will lead product lifecycle, define strategic roadmaps, and collaborate with engineers and designers to address customer needs in AI-powered digital operations management.

The Staff Product Manager will define and drive the strategy for Dropbox's sharing features across platforms, lead cross-functional teams, and influence product growth through data-driven decisions and stakeholder communication.

The Principal Product Manager, AI will lead the AI platform strategy at Webflow, collaborating across teams to enhance product innovation and growth, and develop a unified AI strategy based on customer insights.

As a Senior/Staff Machine Learning Engineer, you will design scalable data pipelines, implement ML algorithms, and collaborate with engineers and Data Scientists to optimize the digital advertising platform.

Lead the vision for Fortnite's Battle Pass and other products, ensuring player engagement through holistic design and collaboration across teams.

Lead end-to-end personalization initiatives: define problems, build and deploy machine learning and statistical models for recommendations and layout optimization, integrate scalable solutions with engineering and product, monitor performance, communicate insights to stakeholders, and mentor junior data scientists.

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.

Lead a team of data analysts to improve product performance insights, establish experimentation practices, and enable self-service insights for the company.

Lead the creation and optimization of machine learning algorithms, develop and refine production-grade models, and drive testing of innovative algorithms using historical data.

Oversee all aspects of data projects, leading delivery teams using Agile methodologies, managing risks, and ensuring effective communication within a dynamic environment.

As a Senior Data Scientist, you'll partner with cross-functional teams to drive AI/ML impact, influence product strategy, and execute data-driven analyses and experiments.

The Manager, Product Analytics leads a team to drive product insights, collaborates on business objectives, and oversees analytics projects to inform product decisions and improve user experience.

The Director of AI will lead the integration of AI solutions, guide clients through implementations, design scalable AI applications, and define best practices within a cross-functional team.

The Lead Product Manager, AI will identify and build AI-powered products, drive growth and customer experience, and collaborate with cross-functional teams.

Lead product analytics to inform product development, experimentation, and GTM decisions. Partner with stakeholders to define KPIs, perform hands-on analyses, specify BI/dashboard requirements, support A/B testing and experimentation, and collaborate with Data Science on ML/AI and automation to measure and drive product impact.

The Engineering Leader will oversee software and data teams, ensuring product delivery and operational excellence in robotics and IoT systems.

The Associate Sales Lead role involves nurturing client relationships, managing the sales process, collaborating with engineering, and representing the company at events.

The Finance Director will lead financial planning, oversee budgeting and forecasting, analyze performance against KPIs, and mentor finance team members.

The Senior Director will lead the data science and AI capabilities at Aviso, managing teams to deliver measurable solutions from concept to production. Responsibilities include overseeing experiments, integrating AI into products, and ensuring compliance in a regulated environment.

Own product strategy and roadmap for underwriting workflows and decision-support. Lead discovery, integrate models and rules into configurable, auditable underwriting capabilities, partner with engineering, data, actuarial, and customers to deliver scalable, compliant solutions that balance automation and human oversight.

The Strategy & Insights Manager will analyze market data, build presentations, tell compelling stories, and collaborate across teams to drive influencer marketing strategies.

The Manager of Analytics Products & Data Science leads the development of analytics products, ensuring they drive business impact through advanced analytics, collaboration, and effective measurement strategies while fostering team development and product adoption.

The Manager is responsible for leading the lifecycle of analytics products to enhance decision-making in Digital Commerce and Marketing, ensuring product delivery, stakeholder adoption, and establishing analytics standards.

The Director of Data Science will lead the data science team, develop predictive models, and enhance AI strategies to drive business growth.