Software Application Data Scientist
Software Application Data ScientistJob Description
Our team is developing a collaborative web application that assists Chip designers in reducing the power-consumption of their device. Reducing power consumption is critical for all devices (CPU, wearables, IOT). Our App is generating a decent amount of data, out of which we don't get enough intelligence or insights, yet. Those are mostly technical data: analytical equations, graph of commits (just like git commits),... But there are also the usual suspects: Logs metrics This internship's mission is to conduct a study on this data, applying techniques from many technical fields, known as data science. We expect to get many insights out of it: Better understanding of our users behavior to build better features Prediction of user behavior, to generate sensible defaults Insights about user's data, that we can share with them We usually code in Golang on Linux laptops, our data lies in redis and postgres, and logfmt. Any proficiency in these technologies is much appreciated, but so does the willingness to learn them.
Inside this Business Group
The Intel Software and Services Group (SSG) connects Intel to the worldwide software community. SSG strives to bring competitive advantage to Intel platforms by helping independent software vendors, operating system developers, OEMs, channel members and systems integrators deliver exceptional customer value and achieve differentiation on Intel® processor technologies. SSG provides global leadership to the software community through its technical expertise, industry enabling activities, and developer products and programs.
This role is a convention de stage (around 6 months internship).You must be a student, preferably last year of an engineering, computer science field.You are ateam player with positive attitude.You are self-motivated and self-sufficient.You speak French and English.You love crunching data, you know redis, git history model (not just using it).Knowlegde of Golang and Linux environment is a plus
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