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Quantitative UX Researcher, Search Ads

Uxr Hunt 🇺🇸 New York, New York, United States of America

Onsite $132,000 - $190,000 Full-time Senior

As a Quantitative UX Researcher, you will set and drive an original research agenda to understand user interactions with Google's products. You will investigate user behavior using quantitative methods and collaborate with stakeholders across functions to impact product development.

Responsibilities

  • Set and drive an original research agenda, drawing on your own and the team's technical expertise in a variety of areas (e.g., behavioral science, survey science, data science) to advance understanding of how users experience and interact with Google's products
  • Investigate user behavior, user experience, and user needs using quantitative research methods such as logs analysis, survey research, and regression analysis
  • Combine skills in experimental design, statistical methods, and general programming to understand and improve user experience and extract meaningful patterns from large data sets
  • Demonstrate excellent scientific and statistical judgement, producing rigorous insights in a changing environment
  • Work with stakeholders across functions and levels and have impact at all stages of product development

Requirements

  • Bachelor's degree or equivalent practical experience
  • 4 years of experience in product research in an applied research setting, or similar
  • Experience in programming languages used for data manipulation and computational statistics (e.g., Python, R, MATLAB, C++, Java, or Go)
  • Experience in experimental design, hypothesis testing, statistical analysis, and survey methodology

Benefits

  • Individual pay is determined by factors including job-related skills, experience, and relevant education or training
  • US: $132,000 - $190,000 (USD) + 15% bonus target + bonus + equity + benefits

Key Skills

Programming languages (e.g., Python, R, MATLAB, C++, Java, or Go) Experimental design Hypothesis testing Statistical analysis Survey methodology Data manipulation Computational statistics User experience research Quantitative research methods Logs analysis Survey research Regression analysis Statistical proficiency Programming skills Behavioral research design Collaboration Communication Problem-solving Data analysis Machine learning Data science Statistical modeling Data visualization Agile methodologies Scrum

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