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Data Modelling Engineer
Salary undisclosed
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1. Modeling project research and development, mainly including but not limited to risk control and anti fraud, user profile mining, precision marketing, personalized recommendation, Natural language processing and other data application scenarios. 2. Participate in model development demand discussion, Data cleansing, modeling parameter adjustment, test feedback analysis, and iterative whole process. 3. Continuously tracking machine learning. The cutting-edge technology of deep learning can continuously improve the effectiveness of online models. 4. Independently responsible for data application projects, responsible for data accuracy and final conversion results.