Duties:
• Provide feature engineering on raw data
• Conduct model selection and evaluation for different AI applications
• Build end-to-end data automation pipeline from data source to visualization
• Optimize data workflows and models for efficiency and scalability

Requirements:
• Degree holder in Data Science, Computer science, Mathematics, or related discipline
• Proficient in Python and SQL
• Understanding of modern machine learning algorithms (i.e. supervised and unsupervised)
• Knowledge on below is preferrable:
 Data Visualization Tools (Tableau, Metabase)
 Databases (Clickhouse, PostgreSQL, MySQL)
 Orchestration Tools (K8s, Docker, NGINX)
• Basic knowledge in Linux
• Experience of Big Data Technologies is a plus (Hadoop, Spark, Airflow)
• Strong analytical and problem solving skills