Sr. Data Scientist - LZ026

Mô tả công việc

Our Company runs on technology, and as dot com innovators, we look to technology to help us advance and optimize everything we do. Because of this, we rely on a backbone of committed tech superstars who make our site and software more stellar every day.This is a fantastic opportunity to work at a company where data sciences can truly change the course of the business, and where information is considered paramount to success. Be at the forefront of our data science program where you'll participate in building our next-generation enterprise data warehouse and self-service BI. This is truly a rare opportunity.What you'll do: Work with the VP of BI&DW to develop quick-win insights for each business functionHelp establish the standards for data sciences at our companyDevelop the primary predictive models for LTVBuild profit models for Marketing and Operations to help drive decisions for spend and laborDeliver actionable customer segmentation models to help improve customer value and improve operational efficiencies using sophisticated clustering and classification methodsPartner with business analysts in each department to develop predictive analytics which support performance management methodologies and "what-if" scenariosData mine to discover opportunities which are not easily gleaned from general reportingHelp to integrate predictive analytics into the business process and develop a data driven cultureQualifications:MS or PhD in Applied Statistics, Mathematics, Data Sciences, or appropriate fieldAt least 5 years' experience in a data sciences capacityUnderstanding of CRISP-DM or similar data mining process modelsStrong ability to design and develop data using SQLExperience with R, SAS, or other industry standard statistical applicationsAbility to code (Pearl, Scala, Java, etc.) or have previous software engineering experience and hacker abilitiesStrong knowledge of regression, classification, statistical models, and probability theoryExperience with designed experiments and factorial designMust be intensely curious and self-motivatedAble to articulate sophisticated concepts to laypeopleAbility to drive data mining projects without oversight