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of your own.

Sr Data Scientist



Data Science
Jakarta, Indonesia
Posted on Friday, December 8, 2023

What you will do:

  • Work as independent contributor and part of a cross-functional team of engineers, product managers and business analysts to build data science solutions that solve a wide array of business value such as increasing customer engagement and help grow JULO’s customer base and transactions
  • Rapidly prototype data science solutions and be involved in product and feature discussions
  • Analyze large volume data and generate insights which will be actionable
  • Own end-to-end solutioning, from formulating the technical problem to deployment (along with engineers) of the solution
  • Continuously improve the predictive value of our models, monitor model performance in production systems closely
  • Develop a culture of highly reproducible work, attention to detail, quality of work and getting solutions to production quickly

What Problems You’ll Work On

  • Behavior Score Model to provide relevant customers’ creditworthiness to determine the credit limit
  • User-level Incentive Model to assign the most optimized incentive to the right customers
  • Collection Recommendation Enginerrangement, following team's arrangement


You Should Have

  • Exceptional CAN-DO ATTITUDE
  • 3+ years of experience of applied Quantitative Analysis, Statistical Analysis or Modelling
  • Experience working with relational SQL databases
  • Fluency in Python and the Python Data Science toolkit
  • Excellent communication skills (Bahasa Indonesia and English)
  • You must be results-oriented and willing to work in a fast and dynamic environment
  • Deep understanding of Linear Algebra, (Multivariate) Calculus, Applied Mathematics and Statistics, Algorithms and complex optimization
  • Bachelor or Master’s degree in Statistics, (Applied) Mathematics, Engineering, Computer Science, or similar advanced degree is preferred

Nice To Have Experience In Any Of The Following

  • Experience with A/B testing and experimentation
  • Domain knowledge in credit scoring, risk or loan portfolio management
  • PhD Degree in Statistics, Mathematics, or Applied Mathematics