Modeling Scientist Quantcast
THIS JOB HAS EXPIRED Quantcast is hiring a Modeling Scientist/Engineer for our San Francisco office. This role will focus on creatively tackling Quantcast?s most complex quantitative modeling problems and advancing the company?s core statistical inference and algorithmic technology for audience targeting (http://www.quantcast.com/audience/quantcast-lookalikes). We are interested in software engineers with a strong production development background and a keen interest in Machine Learning, Data Mining and Statistics. This is an opportunity to work within a diverse and collaborative group of scientists on some of the most challenging problems in online audience measurement and targeting industry.
Quantcast?s Modeling Team works closely with our Scientific Advisory board, comprised of Stanford professors Jerome Friedman and Trevor Hastie. As leaders in the fields of data mining and statistics, both professors take an active interest in Quantcast and our ongoing work.
Quantcast is a digital advertising company specialized in audience measurement and real-time advertising. As the pioneer of direct audience measurement in 2006, Quantcast has today the most in-depth understanding of digital audiences across the web, allowing marketers and publishers to make the smartest choices as they buy and sell the most effective targeted advertising on the market. Quantcast is dedicated to making display as relevant and effective as search, and currently delivers outstanding advertising campaigns for the world's leading advertisers and publishers and brings accurate audience measurement to over 100 million web destinations.
Translate real-world problems to mathematical framework
Develop statistical models and algorithms to solve large-scale inference and prediction problems
Prototype solutions and conduct data analyses using R, MATLAB and/or Java
Gather necessary data and statistics over multi-petabyte data sets by writing Map-Reduce jobs in Java to run efficiently on Hadoop-style cluster
Implement algorithms for production level systems responsible for real-time audience targeting and pricing in Real Time Bidding (RTB) exchanges
Interface with other teams to deliver solutions for client ad campaigns
Generate proposals for further research directions for modeling team
Participate and occasionally present in an ongoing Machine Learning study group
Advanced degree in Computer Science, Electrical Engineering, Statistics, Mathematics or related field
Excellent problem solving abilities
Solid foundation and keen interest in statistical modeling and machine learning
Strong object oriented programming skills (Java strongly preferred)
Interest in working with MapReduce technologies (such as Hadoop)
Preferred: Direct experience applying Machine Learning and Data Mining algorithms to solve complex problems of massive scale
Preferred: Recent programming experience in a production environment
||400 Second Street |
San Francisco, CA 94107
THIS JOB HAS EXPIRED