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Responsibilities工作职责:
- Work together with project team to understand and analyze customer requirements, and pre-evaluate project deliverables and benefits
支持项目组理解并分析客户需求
- Define data needs, evaluate data quality,
定义数据要求,评估数据质量
- Collaborate with IT/machine/product technical experts to define data collection, storage and process concept
与相关技术专家定义数据采集、存储以及处理方案
- Support on core data aggregation, modeling and algorithms implementation
支持数据建模以及算法应用
- Visualization of data analyzing results, work together with team and process/ product experts to validate results and transfer to process/ product knowledge
可视化结果,支持团队验证结果
- Based on validated results, optimize current data process flow, create reusable data process module for frequent usage and process, and improve data process efficiency and stability
持续改进算法
Requirements任职要求:
- Masters or above in Computer Science, Mathematics, Applied Statistics, Physics
计算机,数学,统计学,物理或相关专业研究生以上学历
- Practical experience on working with analytical/data mining methods and software (e.g. R, Rapid miner, KNIME or similar tools)
有实际应用相关工具和软件的经验
- Practical experience in data manipulation, applying algorithms for prediction and relation
有实际应用算法进行预测以及相关性判断的经验
- Good sense in data quality, comfortable in dealing with unstructured data, providing advices on how to develop or improve data structure
有处理多种数据格式或者非结构性数据的经验
- Familiarity with Big Data and related IT architecture (e.g. Hadoop, SQL, Oracle, etc)
熟悉大数据相关IT架构
- Experience with automotive industry or IoT as a plus
有汽车行业或IoT的经验更优