Job Details

ID #54394837
Estado New Hampshire
Ciudad Newyork
Tipo de trabajo Full-time
Salario USD TBD TBD
Fuente NBCUniversal
Showed 2025-08-26
Fecha 2025-08-26
Fecha tope 2025-10-25
Categoría Etcétera
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Lead Data Scientist, Decision Sciences

New Hampshire, Newyork 00000 Newyork USA
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As part of the Media Group Decision Sciences team, the Lead Data Scientist will be responsible for creating analytical solutions for one or more verticals of NBCU’s 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 Lead Data Scientist will use advanced data science methodologies including causal discovery analysis, reinforcement learning, machine learning models, Bayesian analysis etc. and work closely with business owners, teammates and engineers to build a state-of-the-art real-time video streaming service.Responsibilities include, but are not limited to:Lead development of analytical models using statistical, machine learning and data mining methodologies. Advise, help to resolve issues and handle non-standard cases.Define procedures for cleansing, discretization, imputation, selection, generalization etc. to create high quality features for the modeling process.Effectively communicate with team members, project partners and business stakeholders on goals, procedures, timelines and expectations.Proactively anticipate/identify upcoming issues and take initiatives to provide solutionsUse big data, relational and non-relational data sources to access data at the appropriate level of granularity for the needs of specific analytical projects. Maintain up to date knowledge of the relevant data set structures and participate in defining necessary upgrades and modifications.Collaborate with software and data architects in building real-time and automated batch implementations of the data science solutions and integrating them into the streaming service architecture.Drive work on improving the codebase and machine learning lifecycle infrastructure

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