Master’s degree or higher in Data Science, Statistics, Computer Science, Applied Mathematics, or related field.
7+ years’ of professional experience in data science (define module), ideally in financial services or customer analytics.
Strong programming skills in Python, with solid experience in SQL and Apache Spark. Be capable to setup tailored environment and structure code packages are mandatory.
7+ years’ experience and expert knowledge of AI and Gen AI algorithms and data science methods such as Predictive modelling, Association analysis, Sequential pattern discovery, Clustering, Classification & Regression, Estimation, Descriptive analytics (esp. Data Visualization techniques).
5+ years’ experiences of ML/DL tool (such as XGBoost, LightGBM, PyTorch for modeling, and MLFlow, Optuna, Ray for MLOps) to deliver holist and production-ready solution.
Proven knowledge and experiences of systematic tracking and evaluation business impact.
Strong business acumen and ability to conduct workshops directly with business units.
Excellent communication skills for management presentations and stakeholder engagement.
Fluent in Chinese and English.
Sound knowledge of Gen AI related technology (e.g. Deep learning, BERT, LLM).
Having published papers in top-tier AI conferences/journals or having achieved good rankings in ACM/machine learning competitions is preferred.
