Statistician - Google (Pittsburgh, PA)
Google’s new Pittsburgh Office is growing! We need world-class Statisticians to work on interesting (and often very big!) data analysis problems. Google Pittsburgh wishes to hire a core group of outstanding statisticians to work among a highly talented group of software engineers, researchers and statistical machine learning practitioners to solve a variety of analytical problems critical to Google’s continued growth and success. You will work with colleagues in Pittsburgh, and also remotely with other statistical groups in Mountain View, New York, and Seattle. Google is working on problems in a number of areas, including a range of various classification problems and modeling problems (the market space in which Google operates changes very rapidly and has many complex dynamics that are inter-related: in this environment traditional business modeling and analytical frameworks are helpful, but they can no longer fully describe the way our business works).
Responsibilities: - Research on topics including Google's business model, novel search techniques, etc.
- Joint work with Pittsburgh-based computer scientists building massive-scale analytical components.
- Quantitative and qualitative modeling of business dynamics, user behavior, etc.
- Consulting with others who have analytical problems.
- Contributing to the body of knowledge by proactively identifying areas for further investigation as well as innovating the methods with which to analyze and understand them.
- This role will support ongoing contribution and participation in academic forums.
Requirements: - PhD in Statistics or MS with significant experience in statistical modeling.
- Deep expertise and experience with statistical data analysis (i.e. linear models, multivariate analysis, stochastic models, sampling methods) in both academic coursework and project/work experience.
- Strong track-record of developing intellectual capital (e.g. publications).
- Strong written and oral communications.
- Demonstrated leadership and interpersonal skills.
- Experience with user/customer survey design a plus.
- Database query experience (e.g. SQL) a plus.
- Programming experience is a significant plus.
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