Mixed Methods UX Researcher, AI and Compute Enablement

Identify and prioritize high-impact research opportunities to influence strategy and roadmaps for products. Scope and execute research utilizing qualitative and quantitative methods to improve customer pain points and drive business value.

Responsibilities

• Identify and prioritize high-impact research opportunities that align with product, design, and business objectives to define and influence strategy and roadmaps for MSCA products and solutions.
• Scope and execute foundational, exploratory, and evaluative research utilizing qualitative and quantitative methods including surveys, interviews, and analysis to answer product questions, improve customer pain points, and drive business value.
• Synthesize data into compelling insights, reports, and presentations that inspire adoption, engagement, and expansion of user centricity and deliver business intelligence to cross-functional partners, including executive cross-disciplinary leaders.
• Engage in rapid research, design facilitation, stakeholder alignment, and concept validation and prototyping to solve user problems and help scale user-centric solutions.
• Build partnerships with peers and stakeholders, incorporate technical and business domain expertise into research, and leverage user data as an effective tool for navigating ambiguity.

Requirements

• Bachelor's degree or equivalent practical experience.
• 6 years of experience in an applied research setting (e.g., product or academic), or similar.
• Experience with research methods (e.g., usability, studies, contextual inquires, one to one interviews, unmoderated research studies).
• Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field (preferred).
• Experience effectively collaborating with multidisciplinary teams (e.g., Designers, Researchers, Engineers, Content Strategists, and Product Managers) throughout the entire product development process (preferred).
• Experience in front-end development, technical UX design, or prototyping (preferred).
• Experience utilizing various research methods including usability studies, contextual inquiry, and surveys to successfully drive product improvements (preferred).
• Knowledge in AI/ML academic research or development with passion for GenAI systems and the developers who build them (preferred).
• Ability to operate with high flexibility and apply a problem-solving attitude in ambiguous environments (preferred).

Key Skills

• User research
• Collaboration with multidisciplinary teams
• Research methods
• Technical UX design
• AI/ML research
• Problem-solving