Canonical

Usability Engineer- User Science

Rol remoto de Design con fit claro de ubicación del candidato.

PublicadoAgregado recientemente

Países elegibles59 países aceptados

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Ubicaciones aceptadas para candidatos

AlbaniaArgeliaAustriaBaréinBélgicaBotsuana+53 más

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Las ubicaciones aceptadas para candidatos están listadas (59).

Actualidad de la fuenteAgregado recientemente

Fit de ubicación59 países aceptados

Match de stackDocker, Kubernetes

Camino de aplicaciónSitio de la empresa

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Match de stackAgrega skills al perfil para compararDocker, Kubernetes

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Aplicando aUsability Engineer- User ScienceCanonical

Fit de país59 países aceptados

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Resumen del rol

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Collecting and synthesizing user data: Developing user insights in diverse formats, scientifically analyzing data from A/B tests, usability studies, and other methodologies to create compelling findings.
Prototyping for impact: Building lightweight prototypes, data visualization dashboards, or automation scripts to enhance broader consumption of research.
Responding to audience needs: Calibrating research presentations with sensitivity and precision in a highly technical environment, understanding what level of depth is right for each stakeholder.
Promoting a data-informed culture: Working closely with process, product, and engineering teams to integrate user research into existing decision-making flows.
Building research scalability and interoperability: Strengthening research ops infrastructure, making key methodologies more accessible, actionable, and repeatable.
Fostering a learning culture: Contribute to the evolving definition of User Science through user-centered training, resource development, and outreach.

Exceptional academic track record from both high school and university
Bachelor’s or Master’s degree in a related field such as Design, Engineering, Data Science or similar, or a compelling narrative about your alternative chosen path.
User research expertise: Proficiency in both qualitative and quantitative user research methodologies, including user interviews, usability testing, A/B testing, surveys, and data analysis.
Tinkerer mindset: A passion for hacking, exploring, and building creative solutions, whether through technical prototyping, scripting, or research tooling.
A degree of technical fluency: Ability to quickly pick up technical concepts, engage deeply with engineering and process optimization teams, and contribute to cross-functional discussions.
A talent for optimization: A strong alignment towards building research ops, systematizing best practices, and creating frameworks for broader knowledge-sharing.
Finely tuned communication skills: Impeccable verbal and written communication abilities, characterized by warmth, precision, and a commitment to maintaining high-quality standards.
Portfolio: A robust portfolio showcasing a range of user research, design, or engineering projects that show a talent for exploration, optimization, and transforming insights into action.

Experience with Linux.
Some conceptual knowledge of container tech (such as LXD, Docker, Kubernetes), OpenStack deployment or operations, or public or private cloud management.
Some experience with or interest in data analysis frameworks in Python (e.g. pandas, seaborn), R, MATLAB or similar.
A proven track record of contributing to Open Source projects or communities.
A passion for aesthetics, visualization, or design.