Senior Loyalty Analyst

About:
Bloomingdale’s makes fashion personal and fun, aspirational yet approachable. Our mission is to guide and inspire our customers to make style a source of creative energy in their lives. We will always strive to make Bloomingdale’s like no other store in the world. Everyone plays a critical role to bring our mission to life. Regardless of position, we believe all colleagues have a voice and access to share their thoughts with every level of leadership. Our colleagues are passionate, driven, entrepreneurial and collaborative. We welcome and embrace diversity of background, thought and opinion while having a lot of fun along the way.

Job Overview:
The Data Scientist is a part of the Data Analytics group. The Data Scientist will develop innovative analytical approaches to customer, loyalty, promotion, and marketing strategies. The Data Scientist will create practical methods to forecast demand, understand customer preferences, simulate business outcomes, and optimize major investments. The Data Scientist will work closely with cross functional groups to enhance analytical capabilities, identify new growth opportunities, and develop persuasive interactive visualizations.

Essential Functions:

• Answer complex business questions by using appropriate statistical or machine learning techniques on available data, or designing and running experiments to gather data
• Develop novel applications of simulation, optimization, summarization, and machine learning techniques for classification and forecasting
• Work closely with cross functional teams to encourage best practices for experimental design and data analysis
• Create compelling interactive visualizations and presentations to enhance decision making capabilities throughout the company

Qualifications and Competencies:

• M.S. or Ph.D. in relevant technical field such as Statistics, Computer Science, Engineering, or Economics
• 3-5 years direct experience
• Practices open and continuous communication, values keeping others informed, effectively presenting information in a clear, concise manner
• Excellent leadership, facilitation, and interpersonal skills, with the ability to work across functional lines and at many levels
• Expert knowledge of analytical tools such as SAS, R, SPARK, Matlab, or STATA and scripting languages such as Python, Perl, or PHP. Expert knowledge in relational databases and SQL
• Experience with large data sets and distributed computing tools such as Hadoop, Map/Reduce, Hive, H2O
• Familiarity with visualization tools such as Tableau, Power BI or Spotfire
• Ability to think creatively, strategically and technically
• Ability to work a flexible schedule based on department and Company needs