Analytics Scientist - LinkedIn (Mountain View, CA)
LinkedIn is used by more than 38 million professionals around the world to exchange information, ideas and opportunities. We’re changing the way business gets done by creating a platform that enables people to control their identities online, manage their most valued professional relationships, get unique insights to help them in their jobs, and develop new relationships.
We're looking for superb analytical minds to expand our team that will build some of the most innovative products at LinkedIn. You should be extremely intelligent, have a quantitative background, and be able to learn quickly and work independently. This is the perfect job for someone who's really smart, driven, and extremely skilled at creatively solving problems. A strong background in statistics, data mining, machine learning, information retrieval, programming, and product design is a plus, but most importantly you've got to start with what we can't teach...intellectual sharpness and creativity.
This is a unique opportunity to help define and build a new product and engineering team within a mid-sized (360 employees), globally-recognized, energetic, ambitious, and profitable pre-IPO startup. LinkedIn has amassed an incredible dataset, which we use to deliver highly personalized experiences for all our users. Our group also leverages our unique dataset, our creativity, and our skill with quantitative analysis to design and and build products like "people you may know", "who's viewed my profile", "jobs for you", and "company profiles" and core data infrastructure on which many of our products rely on (e.g. standardizing companies). The environment here is optimized for speed--for example, within a week of the initial concept for "viewers of this profile also viewed", it was live on the site. There are many products along these lines that you can help improve, develop and invent. The work is both intellectually rewarding and delivers important value to our users. In addition, the work's varied: one week, you may be involved in predicting which ads a specific user is likely to click on (profile targeted advertising), and the next, working on a model that decides whether 'Webex, Inc' is the same as 'Webex Communications' (it isn't). Changing the way business gets done around the world is no easy task, which is why we only hire the best and the brightest people who are motivated to challenge the norms, continually innovate and learn, and help others. If you fit this profile, then LinkedIn will be a rewarding and interesting place for you.
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