Bay Area useR Group (R Programming Language) Message Board › Job Board › Can you help us predict the future of our company and customers?
|A former member||
Are you looking to make a significant impact on a company's future and their customers? Do you want to use R scripting and your database knowledge to grow by leaps and bounds? Are you an analytical thinker that enjoys working with diverse teams?
If so, look no further. We have a great opportunity for you. Please send your resume and a short paragraph on why you are "The One" to CLowe@kforce.com
As an analytics scientist, your primarily duties will be data mining for quantitative analysis, identification of user behavior patterns and trends in data and working closely with engineering to potential transform the product and correspondingly user experience, based on observed trends. In addition, your duties will include building and deploying scoring models of user behavior (such as conversion or churn) and working with the reporting team to create periodic reports of scores and with the warehousing team for automated actions on scores.
You will need to be SQL savvy to be able to extract data from the warehouse, create variables and use R to perform statistical analyses. Among the tools at your disposal will be Oracle Data Mining, Omniture, Flurry and Oracle BI.
Successful individuals will be able to multi-task end-to-end across various projects, have good technical, communication and interpersonal skills, and above all, be the kind of person to take ownership of their tasks and deliverables.
Fully understand data sources and limitations, warehousing system and the impact of the data on business decisions
Come up to speed quickly and understand requirements and needs of various stakeholder teams
Understand data warehousing schemas and how they may be leveraged to assist in developing of reports and insights
Perform and deliver accurate analyses and reports based on data for marketing, finance, advertising teams
Respond to ad-hoc requests for data and analyses
Create and maintain BI reports and delivery systems – develop report automation, code versioning, data archiving and retrieval mechanisms
Work with senior management and create easy-to-read dashboards on KPIs and other metrics
Work proactively to identify opportunities for process improvements
3-5 years’ experience in advanced statistical techniques, machine learning, multivariate regression, classification problems, large data
Strong analytical and problem solving skills
Experience with statistical packages – R is preferred (SAS acceptable); also experience in SQL/PLSQL (Oracle Data Mining is most desired)
Experience with other tools – Omniture, Flurry, Oracle Business Intelligence desirable
Experience with large data sets will be nice
Must have worked with other teams – engineering, product, data warehousing etc.
Teamwork and collaborative skills; ability to prioritize work; independently with minimal supervision; proven ability to meet deadlines; Decision making ability; Able to work in a small team at a fast, start-up pace
Strong written and oral communication skills
Experience interacting and presenting to senior management
Experience in Big Data – e.g. InfiniDB, Hadoop
Other programming experience – Java, Perl, Python, UNIX/Linux scripting
Edited by User 11,938,687 on Nov 27, 2012 1:39 PM