Position Title: Data Scientist

Duties & Responsibilities: Excellent interpersonal skills, and professionalism and self-awareness; as well as the ability to communicate comfortably with all levels of staff and management are a must. The successful candidate is expected to be a problem solver in a fast-moving and highly diverse environment who will be able to handle multiple complex data driven analysis projects across multiple clients simultaneously while ensuring accuracy, efficiency, and on-time delivery. The candidate must be capable of translating complex theory into customer ready and customer facing presentation and will be presented with business challenges and opportunities in but not limited to: Forecasting; inventory replenishment planning; performance testing, monitoring and alerting; decision support & evaluation; patterning, clustering, and classification; optimization and root causes; software reliability and availability. In this role, the candidate will be part of an independent team performing analysis, implementation and support for all Wal-Mart business units and organizations with the following responsibilities: • Provide diagnostic/prognostic and feasible solutions for the clients as needed. Deliverables will include analytical consulting, statistical models, quantitative solutions for business operations and systems implementation. • Develop, maintain, and execute data analysis for Advanced Analytics programs and provide decision support for business solutions throughout Wal-Mart organizations. • Design and conduct complex statistical analysis to recommend retail marketing testing strategies. • Perform data driven statistical hypothesis using any or combination of the following methods: • Econometrics models and traditional as well as non-traditional time series data analysis. • Reliability/Survival analysis • Multivariate statistical analysis • Machine learning & statistical classification • Robust statistics and Bayesian statistical models • Design of experiments, linear models, and survey sampling • Geospatial predictive models and resampling methods • Operation research, optimization, and qualitative models • Develop appropriate simulation models to emulate market forecast based on hypothetical scenarios. • Provide statistical consultation and data analysis for end-users, data scientists and data miners using available information from both internal and external sources to populate analytical platforms. • Work with IT professionals and fellow statistical experts to produce solution reports for the business. • Build programs and macros to facilitate and streamline data analysis. • Help clients and customers to identify problems, translate challenges into appropriate statistical hypothesis, and formulate data analysis model to provide solution. • Conduct research and publish in professional journals and proceedings to promote business analytics and applications to Wal-Mart business. • Participate and present in internal/external professional conferences, workshops, and meetings to maintains and advance professional expertise. • Promotes and supports company policies, procedures, mission, values, and standards of ethics and integrity

Position Qualifications: • Education and Experience: • Master degree in statistics, mathematics, econometrics or related fields with at least 8 years of experience; or • Ph.D. in statistics, mathematics, econometrics or related fields with 6 years of experience. • Experience with retail strategy, retail analytics, and with high proficiency in SAS & SQL is a plus. • Excellent attention to detail. Ability to identify and diagnose strategic data inconsistencies and errors given that majority of client reporting and analysis pulls data from multiple sources and require intense scrutiny of accuracy and reconcilability. • Strong multi-tasking skills. Must be able to balance multiple analytical projects, partners, vendors and timelines. Ability to reprioritize, seamlessly communicating the required changes and impacts to all affected parties. • Knowledge of SAS and R or other relevant Statistical/analytical/programming packages. • Very good communication skills.

Salary Range: Competitive salary is commensurate with education and experience

Benefits: Bonus, Equity Award, 401K, Health & Life Insurance, etc..

Web Site:

Application Address: I-Li Lu, Ph.D. Business Intelligence & Analytics, Enterprise Information Management, ISD or Email to ili.lu@wal-mart.com

Contact Email: ili.lu@wal-mart.com

Application Deadline: 7/1/2013 or Open until filled