The Data team at Shopee consists of the Business Intelligence and Data Science teams. The Business Intelligence team plays a critical role in building Shopee’s data platforms and conducting business-related analysis to solve business-related issues. The Data Science team prides itself in using scientific methods and hacking skills to power key business processes and elevate the business model based on a deep understanding of Shopee’s business strategy. This includes machine learning, computer vision, natural language processing, and rules-based models.
Provide data-driven insights of the behavior and intentions of users who violate or abuse the system and policies of Shopee.
Design and implement end-to-end machine learning or statistical models for the following areas:
Preemptive or responsive fraud detection with high interpretability
Realtime identity verification for the Know-Your-Customer processes of various Shopee’s products
Work cross-functionally with business, operation, and engineering teams during the whole life-cycle of security products, from problem formulation, solution design, implementation, maintenance and improvement.
Minimum Bachelor’s degree from related disciplines.
Self-motivated, independent and fast learner. Teamplayer who loves to share with and learn from others.
2 years working experience with a programming language such as Python or C++
Experience on SQL, Spark, Kafka
Familiar with traditional machine learning framework such as sk-learn, xgboost, LightGBM, CatBoost or modern deep learning framework like TensorFlow and PyTorch
Experience on designing and implementing industry-level anti-fraud system is a plus
Experience on developing OCR or face recognition model is a plus
Experience on model compression or quantization for on-device inference is a plus