Senior Risk Data Scientist

Job Responsibilities

1. Risk Detection and Identification: Identify risk vulnerabilities in existing businesses through various dimensions such as images, text, device data, and user relationships.

2. User Profiling Analysis and Feature Engineering: Analyze user profiles, perform feature engineering, and build models to identify risks and segment users.

3. Independent Algorithm Research: Conduct independent algorithm research and build models to address business risks and mitigate risk exposure.

4. Building Capabilities for Black-Market Traceability and Risk Interception: Develop capabilities for tracing black-market activities and intercepting risks.

Job Requirements

1. Bachelor's degree or above in Computer Science, Mathematics, Information Systems, Business Analysis, or related fields. A Master's degree or higher is preferable.

2. Over 3 years of experience in algorithm models such as CV (Computer Vision), ML (Machine Learning), and graph-based algorithms, with the ability to independently complete tasks from business requirement assessment to model development and deployment.

3. Proficient in algorithms like CNN (Convolutional Neural Networks), XGBoost, Clustering, and Community Detection for recognition and anomaly detection.

4. Experience with frameworks such as TensorFlow and PyTorch, as well as Spark, PySpark, and MapReduce, with a strong foundation in Python-based coding.

5. Strong communication skills in both Chinese and English, with a high sense of responsibility and goal-oriented mindset.