nbcuniversal the global media company that brought you some of the worlds most iconic television and film franchises including the tonight show saturday night live keeping up with the kardashians the real housewives mr robot the voice this is us the fast the furious jurassic park minions and more is launching an allnew video streaming service it will seamlessly bring together the breadth and depth of nbcus broadcast and cable television series movie titles premier sporting events and renowned news reporting all in one destination all in one app are you ready to go beyond classic predictive analytics to the new areas like deep learning and reinforcement learning do you want to be a part of the team that builds and advanced recommender engine active leaning platform personalized solutions for marketing and advertisement join the worldclass international team of smart hungry and fearless professionals who are working at the cutting edge of technology and science at the epicenter of content technology and culture position overview as part of the directtoconsumer decision sciences team the senior data scientist will be responsible for creating analytical solutions for one or more verticals of nbcus video streaming service including but not limited to the recommender system automated marketing personalized advertisement commerce and revenue optimization systems customer journey and crm solutions in this role the senior data scientist will use advanced data science methodologies including collaborative filtering deep learning reinforcement learning online modeling etc and work closely with business owners teammates and engineers to build a stateoftheart realtime video streaming service responsibilities include but are not limited to build analytical models using statistical machine learning and data mining methodologies apply cleansing discretization imputation selection generalization etc to create high quality features for the modeling process take an active role in assisting team management and business stakeholders in preparing modeling and system requirements use big data relational and nonrelational data sources to access data at the appropriate level of granularity for the needs of specific analytical projects maintains up to date knowledge of the relevant data set structures access levels and ownership information collaborate with engineering teams to build realtime and automated batch implementations of the data science solutions continually work on improving the codebase and machine learning lifecycle infrastructure have active participation in all aspects of the team work qualificationsrequirements bachelors or advanced degree with specialization in statistics computer science data science economics mathematics operations research or another quantitative field or equivalent 3 years of combined experience in advanced analytics in industry or research hands on experience in statistical methods and machine learning with special emphasis on the advanced algorithms like neural networks svm random forests bagging gradient boosting machines kmeans deep learning or reinforcement learning expert level in 3 classes of algorithms experience implementing scalable distributed and highly available systems using google cloud or similar cloud platform experience with data visualization tools and techniques working knowledge of statistical and programming languages such as r python julia java scala or similar experience in