The Business Analytics & Research (BAR) group is part of NBCUniversal’s Intellectual Property Analytics, Operations, and Technology (IPAOT) team responsible for supporting NBCUniversal’s content globally. The BAR team combines data science, economics, consumer research, and business analytics to understand how audiences discover and consume content, quantify the impact of piracy on NBCUniversal businesses, evaluate the effectiveness of content protection efforts, and identify emerging risks in the rapidly evolving digital media ecosystem. 

The Jr. Data Scientist will support a wide range of analytical initiatives that inform content protection, distribution, streaming, and business strategy decisions across NBCUniversal's film, television, sports, and direct-to-consumer businesses. 

Responsibilities

• Analyze large and complex datasets to identify trends in consumer behavior, content consumption, piracy activity, and digital distribution 
• Support and enhance existing analytical models, reporting products, dashboards, and research programs while contributing to the development of new analytical capabilities 
• Support the development and maintenance of statistical models used to measure the impact of piracy and content protection activities on business outcomes 
• Assist with forecasting, risk assessment, title prioritization, and strategic decision-support initiatives 
• Develop recurring reports, dashboards, and data products that provide timely intelligence and present to business stakeholders and senior leadership 
• Conduct exploratory analyses to uncover drivers of piracy behavior, content demand, and audience engagement 
• Support research projects that combine survey data, behavioral data, business performance metrics, and empirical piracy datasets to answer strategic business questions 
• Partner with research, operations, and technology teams to improve data quality, analytical workflows, and reporting capabilities 
• Translate analytical findings into clear business recommendations through presentations, visualizations, and written summaries 
• Explore and evaluate new analytical approaches, including AI, statistical modeling, machine learning, and emerging data science techniques 
• Support ad hoc analyses and special projects across the broader IPAOT organization