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Number of openings: Several
Function: R&D
Location: Shanghai 上海
Requirements of Degree: Bachelor or above本科或以上学历
Responsibilities工作职责:
-Responsible for development and application of data mining algorithms for EMS business
负责汽油机汽车数据服务的数据挖掘算法开发应用
-Responsible for ETL, algorithm modeling, coding and test, continuous optimization, and visualization
负责数据获取和清洗,算法建模、代码开发和测试,系统持续优化,及可视化
-Responsible for development of data modeling, system construction for data analysis
根据业务要求制定数据模型,构建数据分析体系
-Responsible for knowledge display of data mining results, reports making, API development of knowledge usage
负责数据挖掘结果的知识呈现,制作数据报表,完成知识调用接口开发
-New technology study: follow new development tools and computing method of big data under competence building plan, keep development competence improved continuously
新技术学习:根据能力建设规划,学习新的大数据开发工具和主流算法,保持开发能力的持续增长
-Team training: offer technical support and demonstration development for new planned business, verify technical feasibility
业务支持:为新业务提供技术支持和功能演示,验证技术可行性
Requirements任职要求:
-Sensitive in data application in automotive business, interested in vehicle data service, strong learning ability
具备敏锐的汽车业务直觉,对汽车数据服务产品开发感兴趣,学习能力强
-Familiar with ECU function development
熟悉汽油机电子控制器功能开发
-Familiar with technology of big data mining and machine learning, professional in common data mining algorithms—such as clustering, decision tree, SVM, NN, etc
熟悉大规模数据挖掘、机器学习等领域技术,熟悉常见的数据挖掘算法—如聚类算法,决策树,SVM,神经网络等
-Know Hadoop, familiar with Hive, Spark is preferred
了解基于Hadoop等大数据平台工具的开发与设计,熟悉Hive,Spark者优先
-Familiar with tools for data mining and Machine Learning, like Matlab/R/Python/Scala/Java/SQL
熟练使用1种以上工程开发语言(Matlab/Java/Python/R/Scala/SQL)