Sr. Data Scientist - Product Analytics & Data Science, Talent Solutions

LinkedIn's Business Analytics team uses data analysis to drive the company's social network monetization efforts. This award-winning innovative analytics team is rapidly reinventing the way data analysis can be leveraged in our data-centric world. Join the Business Analytics team if you are up to the challenge of delivering highly relevant business insights from big data. A successful candidate will be both creative and technical, with a collaborative and resourceful style that's contagious. Our team is small, highly entrepreneurial, and business-focused.
•Work with a team of high-performing analytics, data science professionals and product managers to identify business opportunities and optimize product performance/engagement. •Own end-to-end product analytics. Analyze and mine both structured and unstructured data to drive product centric as well as user centric insights. •Create insightful automated dashboards and data visualizations to track key business metrics. •Develop and test analytical solutions to be leveraged by both internal and external clients. •Craft compelling stories; make logical recommendations; drive informed actions. •Be thought partner to product team in making data-driven business decisions
Basic Qualifications:
•BS/MS in Statistics, Computer Science, Engineering, Operational Research, Marketing, Business, Economics, Applied Mathematics, or another quantitative field of study. •5+ years of relevant industry experience. •3+ years of experience with SQL (Teradata, Oracle, or MySQL).
Preferred Qualifications
•Familiarity with Excel and R, SAS, or SPSS for statistical modeling, clustering, classification, machine learning, and data/text mining. •Proficiency in a Unix/Linux environment for automating processes with shell scripting. •Experience with Hadoop, Pig, Hive preferred. •Experience with Tableau or other data visualization and BI dashboarding tools. •Experience with Product Analytics is a plus. •Excellent oral and written communication skills. Must be able to interact cross-functionally with both technical and non-technical people. •Overall, a highly driven, results-oriented, creative and nimble problem solver who uses hands-on technical data analytics skills and a willingness to do "whatever it takes" to deliver business value quickly. •Passionate about LinkedIn and data analytics.

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