Top Data Science Jobs in Vancouver

The Data Scientist will generate insights from multi-omics datasets, build data analysis pipelines, collaborate with lab scientists, and utilize advanced analytical methodologies. The role requires proficiency in programming and the ability to contribute to innovative projects in cell health and genomics.

As a Senior Data Scientist at Cash App, you will analyze large datasets, provide actionable insights, design experiments, and work cross-functionally to improve customer experience and drive advertising growth. You will utilize SQL and scripting languages, build dashboards, and communicate findings to stakeholders.

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.

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 & AI Lead at Elantis, you will guide technical delivery, ensure client satisfaction, manage project delivery and P&L targets, mentor your team, and contribute to pre-sales efforts while developing innovative data solutions.

As a Lead Data Scientist at Mastercard, you will develop AI and ML models for fraud detection in digital payments, enhance model performance, and implement data pipelines. You will collaborate with business owners, manage model testing, and explore data trends for feature discovery.

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 Data Scientist, you will develop and implement advanced analytics solutions to optimize pricing and claims processes in the insurance industry. Responsibilities include enhancing predictive models, collaborating on new model development, and ensuring proper data handling and reporting. Additionally, you'll advise on problem-solving approaches and communicate complex data insights effectively to stakeholders.

As a Senior Applied Data Scientist, you will analyze data to improve model efficacy against email attacks, develop machine learning applications, and contribute to the technical roadmap. Responsibilities include data analysis, training models, feature engineering, and collaboration with engineering teams to enhance detection systems.

Wealthsimple is seeking a Senior Data Science Manager to lead a team responsible for data-driven product strategy and analytics. Responsibilities include managing partnerships with product teams, developing machine learning models, maintaining data quality, and creating integrated data models for analytics.

As a Senior Data Scientist in the Ads team at Mozilla, you will analyze large datasets, derive insights, and communicate findings to stakeholders. You will design experiments, build dashboards and analytical models, and mentor other team members, all while fostering a collaborative team culture.

As a Data Scientist, you will analyze and optimize pricing strategies for subscription products. You'll collaborate with teams to refine pricing, build predictive models, and improve operational efficiencies based on data insights. Your role involves data pre-processing, visualization, and communicating findings effectively across various teams.

The Staff Data Scientist will optimize and troubleshoot Reinforcement Learning and Causal ML models for marketing campaigns, analyze ML algorithms, and create diagnostic tests to enhance OfferFit's product performance in collaboration with the ML engineering team.

As a Data Scientist at McAfee, you will analyze and profile large datasets using SQL and Python to drive insights that align with business goals. Your responsibilities include building data pipelines, transforming data, and creating customer 360° views while collaborating with stakeholders and documenting processes.

As a Data Scientist II for Yahoo Mail, you will work with product teams to analyze data and drive insights, enhance commerce utilities, and improve revenue strategies. Responsibilities include statistical analysis, A/B testing, and creating dashboards. Ideal candidates should have experience in e-commerce, a data analytics background, and the ability to communicate insights effectively.

The Senior Data Scientist will develop and implement machine learning models for dynamic pricing and personalized recommendations, manage data pipelines, collaborate with teams for strategy alignment, and design experiments to validate solutions.