Senior Data Scientist

Website First Digital Credit Card

Geekhunter is hiring on behalf of our client, a digital credit platform that has all the functionality of credit card but faster, low-cost, and widely accessible. This company is a well-capitalized startup, funded by some of the best investors in the industry. The product is also the most widely awarded and highest rated retail credit app in Indonesia and SEA. In terms of technology, they also use breakthrough technology and science to unlock unprecedented insights about credit risk and fraud from multiple data sources: phone, social networks, telco, financial, and location data.


  • Competitive Salary
  • Great working environment
  • ESOP (Employee Stock Options)
  • Health Insurance up to 3 children
  • THR, BPJS Ketenagakerjaan&Kesehatan
  • Breakfast and Lunch Provided

Job Descriptions:

  • To mentor team of Data Scientists in a multi-disciplined team where you will take full ownership of turning discoveries and ideas into machine learning models.
  • Identify opportunity and conduct R&D to improve efficiency & effectiveness of business process using ML model across variety of fields such as risk, marketing, collection, customer service, underwriting; by using our vast amount and unique set of data.
  • Actively contribute to taking Data Science at Client’s to the next level.
  • Communicate clearly the potential impact of data products to relevant stakeholders.

Job Requirements:

  • 2 – 5+ years of industry experience in working at financial domain for a consumer-facing company
  • Experience building robust end-to-end predictive models using the latest Machine Learning techniques and methodologies
  • Proficiency in Python or R. Exposure to RDBMS (i.e. MySQL, PostgreSQL) and No-SQL platforms (i.e. S3)
  • Proven communicator with technical teams, clients and senior stakeholders

Bonus points (optional) for:

  • Experience with alternate data to evaluate credit risk
  • Experience in building state of the art Computer Vision or NLP models

How to Apply:
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