Usability Engineer (Data Science)

TL;DR

Usability Engineer (Data Science): Collecting and synthesizing user data to develop user insights and enhance broader consumption of research. Focus on promoting a data-informed culture and building research scalability and interoperability.

Location: This role will be based remotely in the EMEA region.

Company

hirify.global is a pioneering tech firm that is at the forefront of the global move to open source.

What you will do

• 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.

Requirements

• 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.

Nice to have

• 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.

Culture & Benefits

• Fully remote working environment - we’ve been working remotely since 2004!
• Personal learning and development budget of 2,000USD per annum.
• Opportunity to travel to new locations to meet colleagues at ‘sprints’.