Top Data Science Jobs in Vancouver

As a Staff Data Scientist at Square Banking, you will establish expertise in loan architecture and drive decision-making by collaborating with various teams to enhance loan products. You'll define metrics for success, expand credit eligibility, and develop data solutions to improve analytics and user experience for Square Loans.

As a Staff Data Scientist at Square Banking, you'll leverage data solutions to enhance loan products, influence product roadmaps, collaborate with cross-functional teams, and define metrics for success while establishing expertise in the loan process from underwriting to recovery.

The Senior Director Analyst will conduct research and analysis in AI and Data Analytics, advising clients on market trends and best practices. The role involves creating high-value presentations, mentoring team members, and supporting sales initiatives. The analyst is expected to lead impactful research that addresses critical questions and drive demand for Gartner’s services.

As a Senior Data Scientist, you will build reliable data foundations, partner with product teams, leverage data insights for experimentation design, and influence key business decisions in an AI/ML-focused environment.

The Data Science Manager leads a team, drives project roadmaps, oversees model design, and collaborates with various stakeholders to enhance data-driven decision making.

The Data Science Intern will assist in project/product development tasks including data analysis, testing processes, and developing digital tools. The intern will engage in research, apply data science principles, and communicate findings through documentation and reports.

The Data Scientist will be responsible for analyzing detection mechanisms and improving bot detection methods. This role requires a strong focus on data analysis, problem-solving, and collaboration with other teams to enhance product capabilities and customer value.

The Data Scientist 3 at Pattison Food Group will design, create, and deploy machine learning models, working in an agile environment alongside data engineers and analysts. Responsibilities include evaluating and improving machine learning techniques, collaborating with stakeholders, and implementing solutions using advanced analytical methods and tools.

As a Data Scientist at Boeing Vancouver, you will leverage machine learning and analytics to enhance customer-facing software for aviation. Responsibilities include collaborating with stakeholders, developing analytics tools, and contributing to cross-functional teams to solve aviation-related challenges.

As a Senior Data Scientist, you will collaborate with product and business teams to identify growth opportunities, build predictive AI and ML solutions, and perform statistical analyses to impact decision-making. You'll ensure data governance and quality while enabling a data-driven culture within the organization.

As a Data Scientist, you will drive user acquisition and partnership growth by leveraging machine learning models for data-driven decisions. Collaborate with marketing and product teams to integrate performance insights, execute A/B experiments, and automate processes for operational efficiency.

The Data Scientist will develop predictive models for vehicle pricing, utilize statistical programming, and collaborate with teams, focusing on automotive data.

The Lead Data Scientist will develop AI and ML models for fraud detection, enhance modeling practices, oversee data and model development pipelines, and manage testing of trained models. Essential skills include data engineering, optimization techniques, and experience with SQL and big data technologies.

The Lead Data Scientist will develop and implement generative AI models in collaboration with cross-functional teams. Responsibilities include optimizing data pipelines, communicating complex concepts, conducting AI research, and ensuring the reliability of AI models in production environments. This role focuses on automating qualitative research to enhance sales strategies using Mastercard's network intelligence.

As a Quantitative Modeling Analyst, you will design and analyze survey research studies to measure customer satisfaction. Your role includes conducting multivariate statistical analyses using programming tools like Python and SAS, and collaborating with teams to deliver timely results that influence client strategies.

The Data Scientist II will drive data-powered decision-making, build ML products, and analyze user data in collaboration with business stakeholders.

The Data Scientist will develop and deploy algorithms for fish farms, focusing on data analytics, model building, and collaboration with engineers.