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Educational background: Bachelor's degree or above in Computer science, statistics, mathematics, information technology or related fields. Skill Requirements: Technical stack: Familiar with big data ecosystem technologies such as Hadoop/Spark/Flink, proficient in SQL and at least one programming language (Python/Java/Scala). Proficient in using data tools (such as Airflow, Kafka, Hive, Tableau/Power BI). Data Analysis: Master statistical methods, be familiar with machine learning algorithms (such as regression, classification, and clustering), and have practical modeling experience. Familiar with data visualization tools and capable of independently completing the closed loop from data cleaning to analysis reports. Bonus points: Have experience in cloud platform (AWS/Azure/ Alibaba Cloud) data services, and be familiar with real-time data processing or data lake architecture. Familiar with LLM (Large Language Model) application development or data mining project experience. Experience requirements: At least 1 year of relevant working experience in data. Candidates with a background in e-commerce, finance, advertising or the Internet industry are preferred. Soft skills: Clear logic, excellent business understanding and communication skills, capable of quickly identifying problems and promoting their resolution. Self-motivated, adaptable to fast-paced work, and having a continuous passion for data technology.