Job Description

  • Develop data mart for predictive cross sell & up sell, credit scoring model
  • Develop summary mart for support business team (finance team, collection team, lending team, marketing team and banking team) and support report and dashboard
  • Deploy, Develop and maintenance data mart and dashboard(daily, weekly, and monthly)
  • Develop platform for develop predictive model or support credit scoring model and propensity model
  • Deploy, Develop and Monitoring
  • Traditional credit scoring model and alternative credit scoring model
  • Propensity model for support cross sell & up sell to customer
  • Another model such as income model
  • Provide analytic insight to help improve marketing business
  • Collaborate with business, IT and holding company team to provide the data and analytic support
  • Collaborate and manage vendor to develop and deliver project with quality and timeline

Basic Qualifications

  • Bachelor or Master’s degree in data science, Information Technology, Statistics, or a related
  • 5-10 years relevant experience in Data Scientist
  • Hands-on experience of data manipulation using Python / Power BI
  • Flexible enough to react to changes in decisions and adjust accordingly
  • Ability to work independently and collaboratively with others
  • Fluent in English

Preferred Qualifications

  • Experience in Digital Banking/ Lending
  • Experience in visualization tools especially Power BI or by using Python libraries

Company Info.

LINE Corporation

Line Corporation is a Tokyo-based subsidiary of Z Holdings, which is jointly owned by Softbank Group and Naver Corporation. The company's business is mainly associated with the development of mobile applications and Internet services, particularly the Line communication app.

  • Industry
    Computer software
  • No. of Employees
    2,268
  • Location
    Tokyo, Japan
  • Website
  • Jobs Posted

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LINE Corporation is currently hiring Data Scientist Jobs in Fukuoka, Japan with average base salary of ¥4,502,000 - ¥7,508,000 / Year.

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