SAS Analytics Developer

About Capgemini <?xml:namespace prefix = o ns = "urn:schemas-microsoft-com:office:office" />

With more than 170,000 people in over 40 countries, Capgemini is one of the world's foremost providers of consulting, technology and outsourcing services. The Group reported 2014 global revenues of EUR 10.5 billion. Together with its clients, Capgemini creates and delivers business and technology solutions that fit their needs and drive the results they want. A deeply multicultural organization, Capgemini has developed its own way of working, the Collaborative Business ExperienceTM, and draws on Rightshore®, its worldwide delivery model.

Learn more about us at http://www.capgemini.com/ .

 

Rightshore ® is a trademark belonging to Capgemini

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

 

 

Title: SAS Analytics Developer

Job Overview: Capgemini is hiring a senior North American based SAS Analytics Developer to work on a digital transformation project. The successful candidate must have end-to-end experience with SAS and a Big Data project. The successful candidate must have proven experience developing real time, near time and batch driven analytics models in a big data environment. 

Duties & Responsibilities:

Develop Bayesian models, log-linear regressions for survey analytics, market basket analytics, various clustering algorithms (supervised & un supervised), propensity models, web analytics (Google Analytics, Adobe Site Catalyst/Omniture, developing custom tagging strategy)

Skill, Experience & General information Required:

 

Basic Technical Requirements

Agile experience; SAS Visual Analytics Distributed integrated with Hadoop Server; SAS LASR; SAS Client Software on one windows machine; SAS Scoring Accelerator for Hadoop in SAS Environment; Enterprise Guide / Enterprise Miner; In-memory Statistics; Visual Statistics; Metadata Management,  Experience on Financial Services projects, Experience working on Large Programs, Data and Insights experience

 

Desirable Skills

Business Analysis, Project/team leadership, Data Architecture, Data Analysis, Data Management, Data Governance, Data Modeling

 

Location: CHARLOTTE, NC