Top Data Science Jobs in Vancouver

As a Senior Engineering Manager for ML & AI, you'll lead Data Science and ML initiatives, mentoring team members, and collaborating across R&D to drive strategic AI solutions that impact the business.

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.

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.

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

The Therapeutic Analytics Lead manages multidisciplinary teams to deliver complex data analyses for clinical studies, ensuring efficient planning and communication with stakeholders while mentoring new team members.

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.

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.

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

Lead software development efforts, manage engineers, oversee R&D, and enhance product delivery and execution while ensuring application security.

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.

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

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.

Wealthsimple is seeking experienced Canadian leaders abroad in Engineering, Product & Design, Data & Machine Learning, Finance & Strategy, and Leadership roles to help build impactful financial tools in Canada.

As a Product Manager, you'll lead Lower's AI initiatives, shaping user experiences, collaborating across teams, driving delivery, and iterating based on performance data and user insights.

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

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.

Lead an AI/ML/Data Science team to develop and deploy machine learning solutions for robotics, focusing on innovative capabilities and cost-effective cloud processing pipelines.

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.

Lead advanced analytics and AI initiatives, driving data-driven decisions, team development, and cross-functional collaboration to enhance Delta Faucet's business outcomes.

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.

As an Applied Machine Learning Scientist, you will innovate and develop machine learning algorithms, write production code, and collaborate to implement and test these solutions based on historical data.

Lead the Data Science and Analytics team to optimize vehicle supply, enhance rider experience, and improve operational efficiency through machine learning and data analysis. Oversee A/B testing and promote a data-driven culture while mentoring team members.

Lead and mentor a team of data scientists to drive analytics for Core Product, shaping strategies and designing experiments to measure product impact.