Senior Data Scientist

TP. Ho Chi Minh

Posted April 22, 2026

Responsible for independent development or validation of risk models (including antifraud, underwriting and collection models) as well CRM models and challenging current approaches to machine learning model development
Create datasets used for development or validation, ensure samples are representative of production population and data are in good quality
Creative feature engineering skills
Develop high-quality machine learning models
Perform quantitative assessment of model performance based on development, validation and out-of-time samples
Documentation of model development or validation and communication of results to senior managers and presentation to relevant departments
Develop in-depth knowledge and expertise in risk data science, continuously improve model performance, research the latest modeling practices

BS/MS degree in data science, statistics, computer science, applied mathematics or any quantitative discipline
Minimum 2 years of experience in data science, developing statistical models in banking, financial industry or ecommerce
Experience with SQL (Oracle, Spark)
Experience with Python data science stack (such as numpy, pandas, scikit-learn, xgboost, etc.)
Experience with machine learning – practical experience as well as theoretical background
Experience with code versioning in Git
Strong data analytical skills and logical thinking
Fluent English

If you are referred for this position by our Employee/Recruitment Collaborator, please apply via this LINK.

If you are an internal candidate, please apply via this LINK.

Otherwise, please click the Apply button as below for application.

Actions