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Software Engineering Statistician Intern      print | email

Location: Mountain View, California, United States
Program Website…
Target Applicant: Graduate
Program Description: As an Statistician Intern in Software Engineering, you'll be asked to work on projects in a number of areas, including experimental design and analysis, large-scale data mining, model building and a range of various classification problems. You'll combine strong technical skills with your experience in analyzing access and usage patterns of search-based services to help drive critical decisions at Google. You enjoy working with huge sets of data and can analyze it in a variety of ways in order to provide strategic solutions to our Technical and Sales groups. You'll also support Google's ongoing contribution and participation in academic forums.

Provide research on topics including Google's business model and novel search techniques.
Produce quantitative and qualitative modeling of business dynamics, user behavior, etc.
Identify areas for further investigation as well as creating innovative methods of analysis.

Currently pursing a MS or PhD in statistics, computer science, mathematics, economics, biostatistics, psychology, sociology, physics, operations research or another discipline involving experimental design and quantitative analysis of experimental data.
Experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, and sampling methods.
Strong track record of developing intellectual capital such as published works.
Experience using technology to work efficiently with datasets such as scripting, Python, statistical software packages (R, S-Plus, SAS or similar).
UNIX/Linux experience.
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