Senior Quantitative UX Researcher, Search Ads

2 Months ago • 5-10 Years • Product Design • $142,000 PA - $211,000 PA

Job Summary

Job Description

As a Senior Quantitative UX Researcher at Google Search Ads, you'll define and measure UX goals, develop code and statistical models to understand user experience, conduct empirical research using various methods (logs analysis, surveys, regression analysis), and communicate findings to stakeholders. You'll work with large datasets, employing skills in behavioral research design, statistical methods, and programming to improve user experience. You will collaborate with designers, researchers, data scientists, engineers, and program managers to improve products. The role requires expertise in statistical methods, programming languages (Python, R, etc.), and experience in conducting UX research and managing projects in a large organization.
Must have:
  • Bachelor's degree or equivalent experience
  • 5+ years applied research experience
  • Proficiency in data processing & computational statistics programming
  • Product research experience
  • Experience with statistical methods & experimental design
Good to have:
  • Master's/PhD in related field
  • 5+ years UX research with executive leadership
  • 3+ years project management in a large organization
  • Experience developing research questions & using technical tools for data analysis
  • Experience programming computational & statistical algorithms for large datasets
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details


Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience in an applied research setting, or similar.
  • Experience in programming languages used for data processing and computational statistics (e.g., Python, R, MATLAB, C++, Java, or Go).
  • Experience with product research in an applied research setting.

Preferred qualifications:

  • Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or a related field.
  • 5 years of experience conducting UX research on products and working with executive leadership (e.g., Director level and above).
  • 3 years of experience managing projects, and working in a large, matrixed organization.
  • Experience with developing research questions within a given domain, along with using technical tools for data analysis.
  • Experience in programming computational and statistical algorithms for large data sets.
  • Experience in descriptive, inferential, and multivariate statistics, including t-test and Analysis of Variance, and experimental design.

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 who 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 using 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 Quant 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 $142,000-$211,000 + 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 .

Responsibilities

  • Define and measure quantitative UX goals and metrics in collaboration with Designers, Qualitative Researchers, Data Scientists, Engineers and Program Managers.
  • Develop code and statistical models to understand user experience.
  • Conduct empirical research using methods from computer science, quantitative social science, statistics, econometrics, and other fields to understand user behavior and extract meaningful patterns from large data sets.
  • Examine existing data and product designs to generate hypotheses and plans for high-impact research.
  • Prioritize and drive research to improve user experience. Communicate findings to stakeholders in the company.

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