• Dearborn, MI, USA
  • Contract

Position Description:

The Marketing Analytics team in Credit Analytics is looking for a high-potential Analytics Scientist to work on customer experience and marketing campaign initiatives within Company's Global Data, Insight, and Analytics (GDI&A) organization. In this role, you will perform analytics, segmentation and modeling work; build advanced models to support Company's marketing activities; and report results in appropriate forums. Responsibilities include, but are not limited to: Work with Customer Experience and Customer Relationship Management teams to conduct and support marketing analyses Maintain models and algorithms on an ongoing basis Continuously explore ways to enhance marketing models Develop model tracking methodologies and reports to monitor model performance Investigate data issues Use data-mining techniques to find opportunities in the marketing area Use Adobe Analytics to provide insights for Customer Experience on our digital platform Help design marketing campaigns and measure results Work with various data sources and platforms (Hadoop, PC, Mainframe, Unix/Linux, Teradata, flat files) to compile data Utilize statistical software (e.g., SAS, R, Python, Alteryx) to develop models, evaluate marketing campaigns and programs, and develop data visualizations. Learn new software tools as necessary

Skills Required:

  • Advanced degree in Statistics, Mathematics, Computer Science or other technical field Robust knowledge of statistical, methods (e.g., logistic regression, time series, design of experiment) Ability to handle multiple projects within a specified timeframe Ability to translate complex quantitative methods into business insights and present to a non-technical audience Strong verbal and written communication skills Experience using SAS, R, or Python Experience with SQL or Hive

Skills Preferred:

  1. Strong oral and written communication skills 2. Well-organized, independent and ready to work with minimal supervision 3. Inquisitive, team-oriented, proactive, open-minded and interested in learning

Experience Required:

  • Practical experience using analytics in a business or academic environment

Prefer 1. SAS proficiency preferred; SQL programming is a plus

Education Required:

Master Degree or Equivalent

Prefer Statistics, Applied Math

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