"We are building a world-class research team of hacker-scientist-types to dream up, prototype, and deliver shipping products. A successful candidate will have deep experience in applying machine learning and statistics toward understanding structured and unstructured data. Research responsibilities will include exploratory data analysis, data visualization, and developing prototypes and metrics to drive product and business decisions.” Source: Fitbit's posting for a data scientist, R&D.
Qualifications include: 3 to 5+ years work experience or Ph.D./M.S. in statistics, applied mathematics, or computer science; mastery of machine learning and data mining: classification, clustering, time-series analysis, recommender systems; proficient with statistical or numerical analysis tools (R, Matlab); and experience with Java, Stripes, Spring, mySQL, Solr, and distributed ehcache.