Sr. Data Scientist

About the role

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

Qualifications & Requirements

• 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