Bed Bath & Beyond Inc. and subsidiaries (the “Company”) operates a chain of retail stores under the names of Bed Bath & Beyond, Christmas Tree Shops, Harmon, Harmon Face Values and buybuy BABY. The Company is also a partner in a joint venture which operates retail stores in Mexico under the name “Home & More.” The Company sells a wide assortment of domestics merchandise and home furnishings. Domestics merchandise includes categories such as bed linens and related items, bath items and kitchen textiles. Home furnishings include categories such as kitchen and tabletop items, fine tabletop, basic housewares, general home furnishings, consumables and certain juvenile products. Additionally, the Company includes Linen Holdings, a business-to-business distributor of a variety of textile products, amenities and other goods to customers in the hospitality, cruise line, food service, healthcare and other industries. As of May 26, 2012, the Company had a total of 1,180 stores, including 995 Bed Bath & Beyond stores in all 50 states, the District of Columbia, Puerto Rico and Canada, 72 Christmas Tree Shops stores, 68 buybuy BABY stores and 45 stores under the names of Harmon or Harmon Face Values. Shares of Bed Bath & Beyond Inc. are traded on NASDAQ under the symbol “BBBY” and are included in the Standard and Poor’s 500 and Global 1200 Indices and the NASDAQ-100 Index. The Company is counted among the Fortune 500 and the Forbes 2000.

Bed Bath & Beyond Inc. is looking for a Data Scientist with a strong passion for turning large data into actionable insights that drive improved business performance.  They must have strong critical thinking skills and a passion for empirical research and for answering hard questions with data.

The role is positioned within Bed Bath & Beyond Inc's Customer & Business Analytics department.  The Customer & Business Analytics department is a World Class Analytics group, responsible for providing actionable insights into various aspects of the business to drive value and support improvements within the business.   Analytic focus areas include Business Performance, Customer Intelligence, CRM & Optimization as well as Web Analytics.

 The position responsibilities include but are not limited to:

• Mine and translate data into meaningful insights and recommendations for the analytics management team
• Answer key business questions by using analytical & statistical techniques on available data
• Drive the collection of new data and the refinement of existing data sources
• Analyze, interpret & communicate the results of experiments to the analytics management team
• Evaluate and modify statistical methodologies, techniques and processes
• Work with cross-functional teams on the day-to-day execution of data & analytics projects and initiatives
• Produce dynamic data driven analytic solutions to support the strategic goals of the company
• Interact with and present to business units in a professional, comprehensive and confident manner
• Audit analysis for accuracy
• Develop process improvements, share expertise with others and continually strive to improve overall contributions to the department

A flexible analytic approach that allows for results at varying levels of precision is required. Strong background in statistical concepts including regression analysis, factoring, clustering, decision trees, A/B testing and experimental design are a must.
Experience with various data types (e.g. Relational, unstructured, Hierarchical, etc) is needed and the ability to communicate complex quantitative analysis in a clear, precise and actionable manner  is required; 

Additionally:

• Master’s degree in Statistics, Applied Mathematics, Operations Research, Computer Science, Engineering, Economics or a related field with 5-10 years’ professional experience in solving analytical problems using quantitative approaches
• Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
• A strong passion for empirical research and for answering hard questions with data
• Possess a passion of turning large data into actionable insights that drive improved business performance
• Expert in SAS and SQL
• A flexible analytic approach that allows for results at varying levels of precision
• Ability to communicate complex quantitative analysis in a clear, precise and actionable manner
• Possess excellent verbal and written communication skills, attention to details, and the ability to multi-task
• Possess ability to work independently with minimal supervision
• Detail-oriented and comfortable with a fast-paced, structured, retail environment