About the job

As a Quantitative User Experience Researcher (Quant UXR), you’ll help inform your team of UXers, product managers, and engineers about user needs. You’ll play a critical role in creating useful, usable, and delightful products. You’ll work with stakeholders across functions and levels and have impact at all stages of product development.

You will investigate user behavior and user needs using empirical research methods such as logs analysis, survey research, path modeling, and regression analysis. Quant UXRs vary in background and use skills from computer science, quantitative social science, econometrics, data science, survey research, psychology, human-computer interaction, and other fields. You’ll combine skills in behavioral research design, statistical methods, and general programming to improve user experience.

The Quantitative UXR community at Google 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.

In this role, you'll drive the strategy and cross-functional collaboration for Pixel Buds. You will build a strong research program and deliver insights that are rooted in deep expertise in human anthropometry and computational modeling. You will act as a key advisor to product leadership, translating complex computational and statistical findings to actionable product directions.

The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.

The US base salary range for this full-time position is $178,000-$265,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Create UX research strategy on 3D human modeling areas of the product, align with cross-functional teams and execute on the strategy with research results, reports, and recommendations.

• Partner with cross-functional teams (e.g., Product Management, Design, and Engineering) and internal teams (e.g., UXR) to drive product impact.

• Design quantitative ergonomic fit and wearability studies using 2D/3D datasets and deliver high quality analysis and results to drive product development and strategy.

• Drive product impact by delivering solid data-driven results and clear communications using presentations, written documents, or direct communications that deliver the best results for the situation.

• Be a dependable team member by regularly checking in with stakeholders and clearly communicating needs, deliverables, and timelines. Contribute to a collaborative and vibrant work environment.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.

• 8 years of experience in an applied research setting.

• Experience in a technical role creating studies and analyzing data using Python, MATLAB, R, or custom software.

• Experience utilizing multidisciplinary toolkits.

• Experience with product strategy and research roadmaps.

• Experience working with product managers, UX designers, and engineering to inform product direction.

Preferred qualifications

• Ph.D in Computer Vision , Computer Science, Biomedical Engineering, Mechanical Engineering, Electronic Engineering, Human Computer Interaction.

• Experience in human factors and ergonomics research.

• Experience in human factors and ergonomics research.

• Experience using anthropometry and driving design of wearable or other hardware devices.

• Experience with CAD tools, such as Solid Works, NX, Mesh Lab, and simulation tools such as Abaques.

• Experience working with 3D meshes and using automation tools (such as Python and trimesh) to process the meshes to generate anthropometric insights.

• Understanding of business needs and how to perform research in contribution to business strategy.