Quantitative UX Researcher Lead, Shorts

Job Description

At Google, we follow a simple but vital premise: ''Focus on the user and all else will follow.'' User Experience Researchers (UXRs) make this possible.

Google User Experience (UX) is made up of multi-disciplinary teams of UX Designers, Researchers, Writers, Content Strategists, Program Managers, and Engineers: we care deeply about the people who use our products. The UX team plays an integral part in gathering insights about the needs, attitudes, emotions, and behaviors of people who use our products to inspire and inform design. We collaborate closely with each other and with engineering and product management to create industry-leading products that deliver value for the people who use them, and for Google's businesses.

As a User Experience Researcher (UXR), you'll help your team of UXers, product managers, and engineers understand user needs. You'll work with stakeholders across functions and levels and have impact at all stages of product development. You'll play a critical role in creating useful, usable, and delightful products. You'll explore user behaviors and motivations by conducting primary research such as field studies, interviews, diary studies, participatory workshops, ethnography, surveys, usability testing, and logs analysis.

The UXR community at Google is unique and will help you do your best work. You'll have the opportunity to work with and learn from UXRs across Google through regular meetups, mentor programs, and access to internal research tools.

At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun - and we do it all together.

Additional Information

(Colorado only*) Minimum full-time salary range between $152,000 - $163,000 + bonus + equity + benefits.
*Note: Disclosure as required by sb19-085 (8-5-20) of the minimum salary compensation range for this role when being hired into our offices in Colorado.

Resonsibilities:
• Drive and lead a quantitative-research agenda across early stage product development, drawing on your own and the team's technical expertise through quantitative analysis, logs analysis, feature experimentation, and behavioral science to help drive product selections and build intuition from quantitative-data.
• Define, align, and measure quantitative user experience goals/metrics related but not limited to quality and algorithm-related projects in collaboration with Designers, UX Researchers, Engineers, Data Scientists, Product Managers, and Program Managers.
• Work closely with product management, UX, and engineering partners to demonstrate the value of quantitative user research.
• Provide quantitative user research expertise (e.g., experimental design, statistical modeling, human-computer interaction, psychometrics, psychology, etc.) to YouTube Shorts projects (e.g., satisfaction, content quality, machine learning, etc.).
• Understand product team goals and translate their needs into research plans.

Qualifications:

Minimum qualifications:
• Bachelor's degree in Anthropology, Human-Computer Interaction (HCI), Human Factors, Psychology, Sociology, or a related field, or equivalent practical experience.
• 8 years of experience within User Experience, Human-Computer Interaction, applied research setting, and/or product research and development.
• Experience with research design utilizing various methods (e.g., usability studies, contextual inquiry, and surveys).

Preferred qualifications:
• Master's degree or PhD in Computer Science, Human-Computer Interaction, Psychology, Statistics, Economics or a related field.
• 8 years of experience working with User Experience teams.
• Experience in statistics and experimental design.
• Experience in programming computational and statistical algorithms for large data sets.
• Experience in R or Python or another programming language commonly used for data manipulation and computational statistics.

Jobcode: Reference SBJ-rz6qy7-3-142-197-198-42 in your application.