As a Data Engineer at Cube Asia, you will use various methods to transform raw data into useful data systems. You’ll strive for efficiency by aligning data systems with business goals. To succeed in this position,
As a Data Engineer in the Data Collection Team at Cube, you will leverage various methods to transform raw data into reliable and scalable data systems. You will focus on improving efficiency by aligning data architecture
The candidate required to work at Tokyo, Japan. Client Overview Our client is a leading global IT services and digital transformation enterprise operating at the forefront of enterprise technology, cloud-native infrastructure, artificial intelligence, and advanced analytics
The ML Engineer builds the classical retail-ML cores that power the highest-stakes agents on an AI-native retail decisioning platform — demand forecasting that must beat a legacy system, replenishment and allocation models, causal-insight models for executive
Requirements Proficiency in Python and PySpark for data analysis, machine learning, and demand forecasting (regression + time series models) Experience with forecasting models such as LightGBM/ XGBoost and classical time series methods (e.g., ETS/ARIMA) Strong understanding of the
As a Data Engineer at Cube Asia, you will use various methods to transform raw data into useful data systems. You’ll strive for efficiency by aligning data systems with business goals. To succeed in this position,
