Jobs

Position Description
A private, rapidly growing Seattle-based company has an immediate opening for a senior statistician / data mining analyst. Our company contacts millions of consumers a month and is accumulating vast quantities of rich behavioral response data. In this position, you will be part of an analytics team tasked with mining this store of behavioral data, creating predictive models, and designing and building a data warehouse in support of same. This position will interact with the company's Product Management, Development, Professional Services, Operations, Sales and other groups.

The successful candidate will conduct data mining analyses, build predictive models, and assist in the development of a real-time production scoring capability. Experience in prototyping and implementation of the latest data mining/machine learning/prediction algorithms as well as strong database programming skills are a must.

Primary Responsibilities

• Develop, prototype and enhance data mining and predictive modeling algorithms.
• Implement and maintain code to support data mining and predictive modeling efforts.
• Implement and maintain code for transforming raw transaction data into household/customer level representations (ETL).
• Assist in the creation of infrastructure for efficient transfer off-line models to real-time scoring systems.
• Monitor live production applications for quality and effectiveness.

• Advanced degree (PhD preferred) in quantitative field (i.e., Statistics, Engineering, Computer Science, etc.).
• Strong scientific programming skills (Java experience a plus).
• Strong experience in higher level programming languages and statistics packages (e.g. Matlab, R, S-Plus, SAS).
• Strong SQL skills, preferably Oracle.
• 2-4 years of relevant work experience.
• The ability to take initiative and work autonomously while at the same time contributing to team objectives.
• Strong written and verbal communication skills.

• Experience working with massive data sets
• Familiarity with Java
• Experience with Design of Experiments

Contact: kathythib@gmail.com .