Sr. Data Scientist at YuMe
Redwood City, CA, US
About YuMe

YuMe, Inc. (NYSE: YUME) is a leading provider of global audience technologies, curating relationships between brand advertisers and consumers of premium video content across a growing range of connected devices. Combining data-driven technologies with deep insight into audience behavior, YuMe offers brand advertisers end-to-end marketing software that establishes greater brand resonance with engaged consumers. It is the evolution of brand advertising for an ever-expanding video ecosystem. YuMe is headquartered in Redwood City, California, with worldwide offices. For more information, visit, follow @YuMevideo and like YuMe on Facebook.

Join YuMe as a Data Scientist to help lead efforts to grow and develop our video advertising performance systems, like our Placement Quality Index. This patented technology learns and optimizes the inventory for each campaign. This ensures our brand-client/advertisers’ video ads get placed with the most relevant, brand-safe, and highest-quality content to achieve strong brand results and higher brand lift. And for publishers, a high PQI rank attracts the best-fit premium brand advertisers, therefore maximizing CPMs. If that sounds compelling, and you would like to be a part of an award winning company and team, that is revolutionizing television brand advertising across PCs, smartphones, tablets, set-top boxes, game consoles, Internet-connected TVs and other devices, apply today!


Essential duties and responsibilities may include, but are not limited to the following as additional roles and/or focus will be needed as the company and department continues to grow and evolve:

Design optimization algorithms for ad targeting and delivery at ad-serving time
Constantly experiment and improve the relevancy of the ad-delivery optimization system
Develop YuMe’s overall technology platform and offering

M.S., with Ph.D. preferred, in Math/Statistics/Computer Science or equivalent with an emphasis on programming
Solid object-oriented programming skills (Java) and at least one scripting language such as Python/Perl
Strong understanding of Algorithms, Data Structures and Machine Learning / Data Mining
Experience with math/stat tools such as R or MATLAB
Solid understanding of numerical optimization (linear, integer, nonlinear, and dynamic programming)
Solid understanding of forecasting
Previous experience in digital ad serving optimization a huge plus
Previous experience in digital advertising and ad targeting a big plus
Previous experience in web analytics a big plus
Experience with Machine Learning / Data Mining open source tools, preferably in Java (e.g., Weka)
Experience with Hadoop Map/Reduce, Hadoop streaming, Pig, or Hive
Ability to work in a fast paced, test-driven collaborative and iterative programming environment