Proficiency in programming computational and statistical algorithms for large data sets.

Expertise in multivariate statistics and the design of experiments.

About the job

At Google, we follow a simple but vital premise: "Focus on the user and all else will follow." Quantitative User Experience Researchers 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 attitudes, emotions, needs, 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 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.

Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We're made up of multiple teams, building Google's Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.

The US base salary range for this full-time position is $122,000-$178,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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

• Play a vital role in identifying, defining, measuring, and optimizing the factors that drive a positive YouTube ad experience.
  
• Identify and establish repeatable, scalable quantitative research mechanisms to raise the viewer experience by working in close partnership with product management and engineering partners.
  
• Contribute to our team's success by applying your statistical and scientific knowledge to produce findings.
  
• Work quickly and communicate effectively with a fast-paced team focused on speed, accuracy, and excellence.
  
• Collaborate with researchers (Quantitative User Experience Researcher, Research Scientist, Data Scientist, Software Engineers) across Google to adapt and develop new methods for understanding.