Data Scientist (Vungle, Inc., San Francisco, CA)

Collaborate with business partners to identify strategic opportunities for applying innovative algorithms to help: developers and publishers maximize monetization and engagement of their users and enable all participants in the marketplace to operate efficiently; advertisers to optimize the return on investment (ROI) of their advertising campaigns. Identify and explore new and unconventional data sources. Abstract the objectives and constraints of critical business decisions for advertisers and publishers and formulate them in the form of mathematical optimization problems. Design effective experiments to continuously explore the efficiency frontier of advertising performance. Work with engineering and operations teams to build systems and operational capabilities for implementing models and algorithms. Support product and sales teams in taking new advertising products and offerings to the market by demonstrating their superior algorithmic capabilities and business performances through case studies, and proof of concept (POC). Stay abreast of industry best practices and academic research trends. Use strong communication skills (verbal and written) to explain statistical and machine learning concepts to both technical and non-technical audiences.

Minimum Requirements: Master’s degree or U.S. equivalent in Computer Science, Statistics, Math, Data Science, Analytics, Engineering, or related field, plus 2 years of professional experience performing statistical and data analysis (including designing, developing, implementing, testing, and maintaining statistical models) to identify drivers of business outcomes. Must also have the following: 2 years of professional experience developing statistical models to produce applications; 1 year of professional experience using programming languages (including Python, Java, or Scala) to develop innovative techniques to collect performance data; 2 years of professional experience using structured query language (SQL) or NoSQL databases; 1 year of professional experience developing and deploying machine learning algorithms; 1 year of professional experience analyzing data to identify useful relations, patterns, and features that are predictive of user behaviors; 1 year of professional experience designing statistical models to predict conversion and action rate, and supply and demand risks; 1 year of professional experience performing offline analysis, feature engineering, and model design; 1 year of professional experience applying advanced statistical, machine learning, and other types of analytical techniques to audience analytics to improve inventory forecasting, and audience segmentation.

Please send resume to: Niki Farso, Vungle, Inc., 1255 Battery Street, Suite 500, San Francisco, CA 94111. Must specify Ad Code DJNF. EOE. MFDV.