Senior Data Scientist

A Fintech Payment Installment Solution with 0% Interest

Geekhunter is hiring on behalf of our client, a fintech payment installment solution with 0% interest. Our client allows consumers to buy their favorite fashion & lifestyle brands, and pay them off in 4 installments. The platform was built by seasoned co-founders with extensive experiences in the fintech & payment industry, and is backed by and part of one of the biggest B2B Payment in South East Asia. Currently, our client is working with 170 merchants in Indonesia that accept payment through their platform.


  • THR
  • BPJS Kesehatan & Ketenagakerjaan
  • Private Health Insurance (covers individual & family)

Job Descriptions:

The Senior Data Scientist will lead the design and deployment of our real time credit/risk systems as well as provide an environment for business intelligence.


  • Develop, deploy and maintain credit model, fraud models and/or other machine learning models to support automatic decision making
  • Extracting, cleansing and verifying the data from internal and external sources
  • Analyzes complex business problems using data to discover hidden patterns and provide actionable insights
  • Provide regular and/or ad-hoc reports and do presentations in clean manner to across departments
  • Develop dashboards or any similar tools to monitor the company goals and achievements
  • Control, maintain, and improve high level of data quality
  • Assist Chief Risk Officer (CRO) by giving recommendations and strategic/tactical plans to drive actions on managing user risk profile regarding credit risk and fraud risk
  • Collaborate with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
  • Discover new techniques to enhance the effectiveness and efficiency of machine learning models
  • Develop A/B testing framework and provide the results

Job Requirements:

  • Minimum Bachelor’s Degree majoring in Information Technology, Computer Science, Software Engineering, or related IT fields
  • At least 5 years of working experience in the related fields is required for this position
  • Strong presentation skills and ability to communicate complex findings to non-technical users in plain language
  • Strong problem-solving skills
  • Experience working with and creating data architectures
  • Strong programming skill (Python, Java, PHP, C, C+, etc)
  • Have experience on building and implementing machine learning techniques (clustering, decision tree, artificial neural networks, boosting, etc)
  • Knowledge of statistical techniques and concepts, and experience with applications
  • Excellent written and verbal communication skills for coordinating across teams
  • A drive to learn and master new technologies and techniques
  • Strong database querying skills (SQL, MySQL, BigQuery, etc)
  • Experience on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc
  • Have experience with cloud computing platforms (Google Cloud Platform or Amazon Web Service)
  • Having Knowledge Big Data tools with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc
  • Experience visualizing/presenting data for stakeholders using data visualization tools (Tableau, Power BI, QlikView, etc).
  • Ability to multitask
  • Able to work independently and in a team
  • Have experience in banking/financial institutions is a plus

How to Apply:
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