M+E Technology Job Board
Sr. Data Scientist
YuMe
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!
Responsibilities
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
Requirements:
- 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
YuMe
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!
Responsibilities
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
Requirements:
- 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