THƯƠNG MẠI ĐIỆN TỬ GM VIỆT NAM

- 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...

- English proficiency is a MUST

- 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​

- Proactive approach, ability to work autonomously​