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. Across all brand touchpoints—from Bloomingdales.com to our newest small store concept, Bloomie’s—everyone plays a critical role bringing our mission to life. Our inclusive culture promotes diversity of background, thought and opinion. 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, 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
- Perform other duties as assigned
Qualifications and Competencies
- Education/Experience:
- Master's Degree
- 3-5 years direct experience
- M.S. or Ph.D. in relevant technical fields such as Statistics, Computer Science, Engineering, or Economics
- Communication Skills:
- 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
- Technical Skills:
- 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
- Other Skills:
- Ability to think creatively, strategically and technically
- Ability to work a flexible schedule based on department and Company needs
- Physical Requirements:
- Requires prolonged periods of sitting, with occasional standing. Occasionally requires walking, bending, reaching, hearing and talking. Continuous use of computers and other office equipment
This job description is not all inclusive; additionally, Macy’s, Inc. reserves the right to amend this job description at any time. Macy’s, Inc.: including Macy’s, Bloomingdale’s, and Bluemercury: is an equal opportunity employer, committed to a diverse and inclusive work environment.
