UX Researcher, Quantitative

About the Role

The UX Research team focuses on understanding people’s diverse needs through comprehensive research methods to inform the design of products that serve billions globally. This role involves collaborating closely with product and business teams to identify valuable research topics and delivering impactful insights that shape user experiences and product functionality.

Key Responsibilities

• Partner with product and business stakeholders to discover and prioritize research questions.
• Serve as a domain expert and champion user perspectives within the organization.
• Plan and implement end-to-end primary research projects utilizing a rich mix of methods.
• Design studies that explore both behavioral patterns and user attitudes towards products.
• Skillfully manage research agendas amidst dynamic, uncertain settings and coordinate effectively with diverse stakeholders.
• Produce actionable insights that inspire product ideation and evaluate existing designs.

Required Qualifications

• Possess a bachelor’s degree in an applicable field paired with several years of experience in quantitative user research, or a master’s or doctoral degree with some experience in the domain.
• Proficient in statistical programming or data analysis using tools such as R, SQL, STATA, or SPSS.
• Experience in designing surveys and understanding response biases.
• Skilled in applying statistical techniques including regression analysis, ANOVA, and T-tests.
• Demonstrated interest and practical experience conducting hands-on primary research.

Preferred Qualifications

• Proven capacity to incorporate AI technologies to enhance workflows, resulting in measurable efficiency or quality improvements.
• Active engagement in developing AI skills like prompt engineering and agent orchestration, staying informed about new AI advancements.
• Educational background in human behavior related areas such as Human-Computer Interaction, Psychology, Sociology, Communication, Information Science, Media Studies, Computer Science, or Economics.
• Experience implementing responsible AI practices, including risk evaluation, bias mitigation, and quality assurance.

About Meta

Meta pioneers technologies that enable global connectivity, community building, and business growth. Originating with Facebook, and expanding through apps like Messenger, Instagram, and WhatsApp, Meta now ventures into immersive technologies such as augmented and virtual reality, molding the future of social connection beyond traditional digital interfaces.

Compensation and Benefits

The total compensation package is tailored individually based on skills, experience, qualifications, and location. The figures represented in this posting reflect base pay only and exclude additional incentives like bonuses or equity. Meta also provides a comprehensive benefits program to employees.