Top Data Science Jobs in Vancouver

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 Program Manager will champion AI and automation within a regulatory framework, identify opportunities for efficiency, manage a roadmap of initiatives, and enhance program management tools while collaborating with various teams.

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.

As the first Data Scientist, you will build Luma's data science infrastructure, define key metrics, and support product and growth initiatives through data-driven insights.

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 Strategy Lead will guide strategic direction for clients, develop integrated growth strategies, translate business challenges into priorities, and connect insights with execution across teams to achieve measurable outcomes.

As a Senior Data Science Engineer, you will lead modeling projects, build and optimize machine learning models, and mentor junior data scientists while collaborating with various teams to drive business outcomes.

The Summer 2026 Internship at Level Agency involves real project work in various tracks like Media, Creative, and SEO, emphasizing accountability and growth. Interns receive mentorship while contributing to team priorities.

As a Talent Acquisition Partner for R&D, you'll lead full-cycle recruitment for technical roles, collaborate with engineering leaders, and improve hiring strategies in a competitive market.

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 Product Manager, AI Enablement will drive AI initiatives by analyzing operations, developing business cases, and ensuring responsible AI deployment across the organization.

The Senior Data Scientist will analyze manufacturing data to improve quality and optimize processes through advanced analytics, with a focus on driving cost and waste reduction.

The Enterprise Account Executive will drive new revenue by closing business with enterprise customers, building relationships, navigating complex sales cycles, and demonstrating the value of Fiddler's AI solutions.

The Director of Actuarial Services will lead financial engineering for Value-Based Care contracts, manage a team of actuaries, and provide strategic advice to executive leadership.

The Senior IT Business Analyst will collaborate with teams on AI product development, manage documentation and agile processes, and communicate project progress.

Lead the vision for Fortnite's Battle Pass and other products, ensuring player engagement through holistic design and collaboration across 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 Automation Engineer, you'll build automation pipelines, collaborate on experimental needs, program instrumentation, and integrate with data science, enhancing research capabilities.

The Research Platform Scientist will build high-efficiency experimental pipelines, collaborating with scientists and engineers to enhance throughput in molecular biology efforts.

The Senior Data Scientist will design and deploy time-series forecasting models, collaborate with stakeholders, and operationalize models in cloud environments, focusing on demand planning across various industries.

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

The Manager, Data Science will lead marketing analytics efforts, analyze marketing effectiveness, build models for investment strategies, and collaborate across teams to provide actionable insights.

The role involves owning data science pipelines, delivering client-facing features, driving cross-functional collaboration, and leveraging AI tools to enhance workflows, ultimately transforming retail data into actionable insights.