Top Data Science Jobs in Vancouver

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.

Lead KYC modeling strategy, develop machine learning systems for customer onboarding and compliance, and oversee KYC monitoring and rules engine. Manage a team and align strategies with key stakeholders.

The Senior Lead AI Solutions Consultant at Braze drives revenue by enhancing the understanding of the BrazeAI tools, engaging with enterprise customers, leading workshops, and collaborating across teams to improve products and customer solutions.

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.

Lead the Appeal Operations team to manage the Denylist appeal program, leveraging fraud expertise to drive efficiency and collaborate with cross-functional teams.

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.

Define and execute the product vision for leveraging data science at DraftKings, focusing on personalization and customer engagement through collaboration across multiple teams.

Lead a team of data scientists to deliver insights and data-driven solutions. Provide technical leadership, manage projects, and foster a culture of innovation.

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.

Join the R&D team to develop ML/AI models leveraging data for ad tech. Collaborate on the full project lifecycle in a flexible, remote environment.

The Senior Product Manager will define product strategy and manage the development of AI-native tools aimed at improving trust posture across security, privacy, and compliance. Responsibilities include roadmap creation, collaborative UX development, and driving automated remediation through innovative AI solutions.

The Senior Account Executive will leverage technical expertise to drive revenue growth, build partnerships, and represent technology in the engineering sector.

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.

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

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

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

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/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.