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Google

Quantitative Analyst PhD Intern, Summer 2015
San Francisco Bay Area, US - Information Services, Internet
Applications are open on April 29, 2015 and will be due by May 15, 2015 at 11:59 PM PT. Applications will be reviewed on a rolling basis and it's in your best interest to apply early. All hiring will be complete by the end of May. Dates are subject to change and it is recommended that you check back regularly. Thank you for your patience while we consider your application.

Explore your passions and discover new ones by getting involved in data analysis at Google. As a Quantitative Analyst, you will be responsible for analyzing large data sets and building expert systems that improve our understanding of the web and improve the performance of our products. This effort includes performing complex statistical analyses on non-routine problems and working with engineers to embed models into production systems. Managing fast-changing business priorities and interfacing with product managers and engineers are required for success.

Responsibilities

• Apply advanced statistical methods.
• Work with large, complex data sets.
• Solve difficult, non-routine problems.
• Clearly communicate highly technical results and methods.
• Interact cross-functionally with a wide variety of people and teams.

Minimum qualifications

• Currently pursuing a PhD in statistics, computer science, mathematics, economics, biostatistics, physics, operations research, or another discipline involving experimental design and quantitative analysis of experimental data.
• Have authorization to work in the U.S.
• Be able to complete a 10-12 week program beginning in May or June 2015.

Preferred qualifications

• Experience with models and techniques for statistical data analysis such as linear models, multivariate analysis, sampling methods, classical and Bayesian inference.
• Experience in working efficiently with large, noisy, or unstructured data sets, using scripting and statistical software packages (R, S-Plus, SAS, Stata, or similar).
• Experience with Unix/Linux.
• Proficient in a programming language such as R, Python, MATLAB, or C++.
• Strong track record of developing intellectual capital such as published papers, conference presentations, or open-source software.
• Fluent in English.

Area

Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems--from the everyday to the epic, from the mundane to the monumental. And we approach marketing in a way that only Google can--changing the game, redefining the medium, making the user the priority, and ultimately, letting the technology speak for itself.

Mountain View (Global HQ)

No salary provided

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