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Do you have a strong background in scientific programming, academic research, and are eager to contribute to groundbreaking research? Do you love to write code and analyze data? Then please consider joining our growing team of data scientists!
In recent years, machine learning algorithms have become more ubiquitous in everyday life as people employ these methods to automate tasks and help in complex decision making in different sectors, from banking to criminal justice.
Though he only joined Princeton University as a data scientist in November, Andrzej Żurański is already involved in some exciting research on campus: applying machine learning techniques to explore the mysteries underpinning chemical reactions.
When Pranay Anchuri was a college sophomore studying computer science, he worked on a project developing a search engine to crawl through Wikipedia for information. It was not a novel idea, but it got Anchuri hooked on learning more about large scale data sets, leading him to his eventual career as a data scientist. ...
There is an art to taking data and distilling it into a graphic that is clear, understandable and compelling. If done properly, mass amounts of information can be wrangled to tell a riveting story or reveal insights that were once hidden.
The Center for Statistics and Machine Learning (CSML) has awarded three undergraduate students financial support to help them pursue summer research projects from off-campus locations.