Data Scientist

In this role, you will work with large amount of data and information and provide other departments with modelling, advance analytics, and automation support with focus on Big Data and Scoring.

Key responsibilities:

• Build machine learning model and monitor the result for various internal departments and external partners.
• Deploy predictors or machine learning model in Real Time Decision Engine (Python based).
• Knowledge sharing with teammates and be expert consultant for assigned area of knowledge. The assigned area will be connected to Big data and Scoring.

We welcome talents with these qualities:

• Bachelor's or Master's degree, majoring in Statistics, IT, Applied Mathematics, Physics, Engineering or equivalent and/or quantitative fields (eg. algebra, probability theory, operational research, machine learning).
• Minimum 3 years in a modelling/data science team.
• Proficient with Python for data science (scikit-learn, xgboost, lgbm, etc.), PySpark, Power BI, Apache Airflow, Git, and SQL queries.
• Have a solid understanding of predictive model using both statistical (classical) and machine learning models.
• Familiar with risk credit scoring, NLP, and hadoop ecosystem will be an advantage.
• Adaptable to work in a dynamic and agile environment.
• Excellent communication in English, both written and spoken.