Staff UX Quantitative Researcher, Cloud

1 day ago

Bengaluru, Karnataka, India Google Full time ₹ 12,00,000 - ₹ 36,00,000 per year
Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience 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).
Preferred qualifications:
  • Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field.
  • 8 years of experience in a Data Science, Analyst, or Quantitative UX Researcher role.
  • 7 years of experience working with executive leadership (e.g., Director level and above).
  • 5 years of experience managing projects, and working in a large, matrixed organization.
  • Experience in programming languages used for data manipulation and computational statistics, such as Python or R.


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 Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities
  • Influence stakeholders across organizations to gain support for research-based, user-centric solutions.
    Research, develop, and validate metrics to define success.
  • Own project priorities in alignment with product goals, and oversee allocation of resources within the project. Design and analyze experiments to measure the causal effects of product changes.
  • Drive ideas to improve products and services through research-driven insights and recommendations. Lead teams to define and evaluate product, service, ecosystem impact.
  • Own direction and strategy discussions through research by analyzing, consolidating, or synthesizing what is known about user, product, service, or business needs.
  • Shape the development of Generative AI (GenAI) Agents across Google Cloud Business Platform. Analyze user behavior to identify and size new opportunities for product and process improvements and the application of AI/ML.

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