DoubleClick: Optimization Statistician

DoubleClick develops the tools that advertisers, direct marketers and web publishers use to plan, execute and analyze marketing programs. Our focus on innovation, reliability and insight enables clients to improve productivity and results. DoubleClick’s Technology Organization is comprised of over 300 IT professionals, located in New York, Colorado, Chicago, San Francisco and Europe. We pride ourselves in hiring energetic and innovative professionals who enjoy working with cutting-edge technologies and pushing those technologies to the limits. Moreover, DoubleClick utilizes the Agile Methodology (SCRUM) for Software Development. Currently DoubleClick serves over 100,000 Ads per second and handles a staggering 8 billion transactions on a daily basis.
REQUIREMENTS


Skills:Knowledge of statistical methods (regression & classification methods, discrminant analysis, cluster analysis, anova, time series, sampling, inferences, etc.)Knowledge and experience with Optimization algorithms: Linear Programming, simulation, etc.
Familiarity with machine learning / statistical learning theory: supervised/unsupervised/reinforcement learning. Model building – model assessment and selection, bias vs. variance tradeoff.

Programming skills: competency in several of the following:perl, java, C/C++, SQL, R/S-plus, SAS, shell scripting, Excel Macros
Experience with UNIXExperience in working with a large, enterprise computing system.
Experience working with massive (10^9) datasets.
Ability to conduct independent research: concept formulation, definition of metrics, determination of appropriate methodology, performance evaluation, and final research report.
Ability to assess business environment for additional opportunities
Excellent project management skills
Ability to work independently
Proactive
Excellent troubleshooting and problem solving skills
Excellent oral & written communication skills
Excellent presentation skills
Excellent consulting skills
Ability to establish key relationships with the business team and the engineering team
Qualifications:Advanced degree in a statistical/quantitative field, required.
Five years experience in a statistical/quantitative field, required
Three years experience conducting original research, required
Three years experience working with external clients in a business environment, requiredAbility to travel up to twice a quarter, required
Knowledge of Digital Advertising desired.