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UX Quantitative Researcher, Google Photos

Google - San Francisco, CA

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Job Description

UX Quantitative Researcher, Google Photos _corporate_fare_ Google _place_ Mountain View, CA, USA; Cambridge, MA, USA; +4 more; +3 more Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. _info_outline_ XApplicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Cambridge, MA, USA; Los Angeles, CA, USA; New York, NY, USA; San Francisco, CA, USA . Minimum qualifications: + Bachelor's degree or equivalent practical experience. + 4 years of experience in product research in an applied research setting, or similar. + 2 years of experience with R or Python in data manipulation, computational statistics, and modeling. + Experience in programming languages used for data manipulation and computational statistics (e.g., Python, R, MATLAB, C++, Java, or Go). Preferred qualifications: + Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field. + 3 years of experience working with senior leadership (e.g., Director level and above). + 2 years of experience conducting UX research on products, managing projects, and working in a changing organization. + Experience in data visualization techniques and evaluating machine learning models. + Experience with multivariate statistics and the design of experiments. + Ability to write efficient queries to extract and format data with SQL. About the job At Google, we follow a simple but vital premise:

Created: 2025-10-06

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