Jr. Data Scientist, Business Analytics & Research

Company Description

NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information.

Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.

Job Description

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 

Qualifications

Basic Requirements: 

• Bachelor's degree in Statistics, Mathematics, Economics, Data Science, Computer Science, Operations Research, Social Science, or a related quantitative field 
• 2+ years of demonstrated experience applying quantitative analysis to real-world problems through academic research, internships, consulting engagements, or professional work 
• Proficiency in SQL 
• Experience using Python, R, or similar analytical programming languages 
• Understanding of statistical concepts including hypothesis testing, regression analysis, experimental design, and predictive modeling 
• Experience cleaning, validating, and analyzing structured datasets 
• Ability to communicate analytical findings clearly to both technical and non-technical audiences 
• Experience creating data visualizations and dashboards using Tableau, Power BI, or similar tools 
• Strong analytical thinking,