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Senior Data Scientist: Bloomingdale's, New York, NY - Full-time / Part-time
•30 days ago
| Hours | Full-time, Part-time |
|---|---|
| Location | 919 3rd Avenue New York, New York |
About this job
Job Overview:
The Data Scientist will work in the Customer Analytics and database group to develop innovative customer analytics, customer story strategy, and contact optimization tools. The Data Scientist will create practical methods to forecast demand, understand customer preferences, simulate business outcomes, and optimize the marketing investment. The Data Scientist will work closely with cross functional groups to enhance analytical capabilities and develop persuasive interactive visualizations.
Essential Functions:
• Answer complex business questions by using appropriate statistical techniques on available data or designing and running experiments to gather data
• Rapidly develop novel applications of classification, forecasting, simulation, optimization, and summarization techniques
• Work closely with cross functional teams to encourage statistical best practices with respect to experimental design and data analysis
• Create compelling interactive visualizations and presentations to enhance decision making capabilities throughout the company
Qualifications:
Education/Experience:
• M.S. or Ph.D. in relevant technical field such as Statistics, Computer Science, Engineering, or Economics
• Expert knowledge of an analytical tool such as SAS, R, Matlab, STATA, or Python
• Experience with relational databases and SQL
• Experience working with large data sets and distributed computing tools such as Hadoop, Map/Reduce, Hive, etc.
Communication Skills:
• Ability to communicate complex quantitative analyses in a clear, precise, and actionable manner
Other Skills:
• Strong passion for answering complex business questions using structured problem solving and rigorous data analysis
• Familiarity with visualization tools such as Tableau or Spotfire
This job description is not all inclusive. Macy’s Inc. reserves the right to amend this job description at any time. Macy's Inc. is an Equal Opportunity Employer, committed to a diverse and inclusive work environment.
The Data Scientist will work in the Customer Analytics and database group to develop innovative customer analytics, customer story strategy, and contact optimization tools. The Data Scientist will create practical methods to forecast demand, understand customer preferences, simulate business outcomes, and optimize the marketing investment. The Data Scientist will work closely with cross functional groups to enhance analytical capabilities and develop persuasive interactive visualizations.
Essential Functions:
• Answer complex business questions by using appropriate statistical techniques on available data or designing and running experiments to gather data
• Rapidly develop novel applications of classification, forecasting, simulation, optimization, and summarization techniques
• Work closely with cross functional teams to encourage statistical best practices with respect to experimental design and data analysis
• Create compelling interactive visualizations and presentations to enhance decision making capabilities throughout the company
Qualifications:
Education/Experience:
• M.S. or Ph.D. in relevant technical field such as Statistics, Computer Science, Engineering, or Economics
• Expert knowledge of an analytical tool such as SAS, R, Matlab, STATA, or Python
• Experience with relational databases and SQL
• Experience working with large data sets and distributed computing tools such as Hadoop, Map/Reduce, Hive, etc.
Communication Skills:
• Ability to communicate complex quantitative analyses in a clear, precise, and actionable manner
Other Skills:
• Strong passion for answering complex business questions using structured problem solving and rigorous data analysis
• Familiarity with visualization tools such as Tableau or Spotfire
This job description is not all inclusive. Macy’s Inc. reserves the right to amend this job description at any time. Macy's Inc. is an Equal Opportunity Employer, committed to a diverse and inclusive work environment.
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