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This position is based in Mountain View, CA.
We follow a simple but vital premise in the User Experience group: "Focus on the user and all else will follow." We're ardently interested in our users and strive to learn everything we can about their behaviors, attitudes and emotions to help define the products and experiences we create. The User Experience team is a critical driving force behind gathering these insights and then using them to inspire and inform design. We are a multi-disciplinary team of interaction designers, visual designers, user researchers, copywriters and Web developers who collaborate closely with each other and with engineering and product management to create innovative, usable, great-looking products that people love to use.
In this position you will use your analytical skills to find ways to improve the user experience of Google's offerings worldwide. Using your technical and leadership abilities, you will develop new success metrics, identify user experience trouble spots and chart the impact of the changes. You will work closely with product and engineering teams, and your findings will lead directly to making our users happier, the key to Google's success. Researcher have an outstanding record of technical contributions in the analysis of user experience problems; while experience as a manager is a plus, it is not required.
You should have a history of working with large scale quantitative data sets, live experiments or other methods that help insight-driven user research scale to meet the needs of a large company with millions of users. You have significant domain specialization in one or more areas. These areas include programming skills related to data extraction or understanding how digital products are instrumented (e.g. Python, C++, Perl, Java), or to the development of online services (e.g. HTML, CSS, Java Script). Other technical specialties might include the creation of visual dashboards for understanding trends, experience in working with SQL databases, or other experience related to online experiments (e.g. A/B testing, live testing, context-sensitive survey techniques). More important than knowledge of any specific technology, researchers have a strong, well developed interest in using large-scale research techniques to understand users of digital products and services.
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