Data Scientist

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Job Description

As a Data Scientist, you will be part of a team responsible for development and execution of world class forecasting and planning models.  These techniques will be accomplished with regular utilization of decision science, as well as analyzing and communicating various demand components while partnering to identify optimization opportunities. Primary business functions supported are: Global New Accounts, Global Credit and Fraud Network.  Additional support may be required for other Global Services Group functions. The Data Scientist must demonstrate outstanding thought leadership, collaboration and partnership with multiple functional teams including; Risk Management, Finance, Operations, MIS, Contact & Capacity Management and Technology partners while effectively supporting long and short term forecasting accuracy, and day to day oversight of the global demand environment.

Responsibilities include:
  • Development and maintenance of forecasting models for Global New Accounts, Global Credit and Fraud Network
  • Leverage existing and identify new data sources to perform complex modeling and decomposition strategies to generate insights and influence stakeholders
  • Develop, interrogate, question and validate data modeling inputs and outputs
  • Manage in a Global 24x7 environment with the potential for planning and executing in crisis/contingency plan situations
  • Establish and maintain strong relationships with Business partners, ensuring regular communication and insights on Plan execution
  • Manage relationships with a diverse, cross-functional and remotely located teams to successfully achieve goals


  • Bachelor’s degree or equivalent in Computer Science, Engineering, Mathematics, Statistics, Operations Research, or a related field
  • Strong working knowledge of forecasting and planning models/methodologies  
  • Demonstrated applied experience with R, Python, SQL or SAS programming is required
  • Proven track record of working on different Machine Learning projects; high positions in Kaggle and other machine learning competitions are preferred
  • Statistical modeling and forecasting, and application of quantitative and research methods are required
  • Demonstrated ability to synthesize large data sets into actionable insights
  • Demonstrated experience driving results in matrixed and global organization
  • Demonstrated thought leadership along with strong analytical and problem solving skills with high degree of finance acumen and/or mathematical aptitude
  • At least 2 years’ experience supporting reporting and analytics 
  • Strong understanding of contact center management a plus
Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.

ReqID: 19014069
Schedule (Full-Time/Part-Time): Full-time
Date Posted: Oct 15, 2019, 12:45:51 AM