Within Nielsen’s core business of Global Watch, the Data Science Digital Product Team drives development and support of our cross-platform measurement product Total Content Ratings (TCR) that provides clients with a view of what content people view on Live and streaming TV, computers, smartphones, tablets, and other devices. As part of the project, the intern will focus on initiatives targeting methodology innovations that will positively impact TCR data quality. The role would center on evaluating different statistical strategies to deal with sample sizes in TCR data sources. The intern will get an opportunity to investigate statistical modeling and machine learning techniques that might be more accurate and stable than the current approach.
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Nielsen N.V. (NYSE: NLSN) is a global performance management company that provides a comprehensive understanding of what consumers Watch and Buy. Nielsen’s Watch segment provides media and advertising clients with Total Audience measurement services across all devices where content — video, audio, and text — is consumed. The Buy segment offers consumer packaged goods manufacturers and retailers the industry’s only global view of retail performance measurement.
By integrating information from its Watch and Buy segments and other data sources, Nielsen provides its clients with both world-class measurement as well as analytics that help improve performance. Nielsen, an S&P 500 company, has operations in over 100 countries that cover more than 90 percent of the world’s population. For more information, visit www.nielsen.com
Nielsen is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class.
Nielsen is a global performance management company that provides a comprehensive understanding of what consumers Watch and Buy.