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.

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.

The Staff Product Manager will lead product strategies for consumer data systems, drive attribution and trust models, and enhance user engagement through improved data quality and collaboration with cross-functional teams.

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

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 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 Business Operations Intern, you'll assist with business case development, project management, and support Data Science operations while working closely with a mentor.

As a Data Science Intern, you will analyze data, collaborate with stakeholders, and apply machine learning techniques to solve business problems while receiving mentorship and training.

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

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

The CEO will lead ProCogia's transformation to an AI-first organization, setting strategic direction, fostering a high-performance culture, ensuring operational excellence, and driving financial growth while engaging with clients and partners.

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

Lead the credit strategy and risk management at Prime, developing credit policies and procedures, managing relationships, and overseeing credit lifecycle using data analytics and machine learning.

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.

As a Data Science Intern, you will engage in data analysis, collaborate with teams to improve products, and build dashboards for insights.

As Director of Data Science, you will lead predictive solutions and analytics for marketing, sales, and product development, mentor teams, and establish data-driven strategies aligned with business objectives.

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.

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

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

Lead the strategy of League's Data & AI platform, manage product teams, drive AI innovations, and enhance personalized user experiences in healthcare.