Responsibilities:
- Develop and maintain business forecasting models by using big data technology
- Use big data analytic techniques to build predictive models from voluminous data collected from customer touch points
- Perform statistical analyses and provide insightful comments for business questions from senior management
- Drive automation of analytical projects within the team
- Perform statistical analyses and provide insightful comments for business questions from senior management
- Lead the analysts to complete the modelling and analytics projects
- Collaborate with engineers/developers in the development process of final AI/data product and facilitate deployment onto production environment.
- Provide professional consultancy to support client projects.
Requirements:
- Preferably a postgraduate degree holder in Statistics, Computer Science, Data Science or related disciplines.
- Minimum of 4 years’ working experiences in a modeling/analysis/statistics role (Statistical, Artificial Intelligence & Operational Research techniques or other disciplines)
- Not less than 2 years of solid experience in big data projects
- Strong computational background with experience in R, SQL, Python and other data and code manipulation methodologies
- To be familiar with and hands-on experience on Big Data modelling techniques including logistic regression, decision tree and machine learning
- Experience in applying advanced statistical learning and predictive analysis techniques
- Experience using Python, R and SQL for data analysis
- Strong analytical thinking, self-motivated and independent judgment
