Siemens Careers

能源系统数据建模研究员 DES energy system data modeling researcher, Beijing

BEIJING, China
Research & Development

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English (UK)

Job Description

Job Description 岗位职责

1.     Responsible for data modeling in energy management system development by taking use of the machine learning methodology, covering component and system of power and energy conversion, including algorithm application of data cleaning, filtering, analysis, modeling and verification. 负责在能源管理系统开发过程中, 利用机器学习方法对电力,能源转换,部件及系统建模,包括数据清洗、过滤、分析、建模, 检测算法

2.     Capable of handling large scale data analysis in the field of energy system and energy component, attribute to distributed engineering realization of the algorithm and models, for data statistics, data mining, machine learning including data cleaning, modeling, evaluation and optimization, modeling application, programming and optimization of data modeling algorithm. 进行能源系统大数据场景下的数据统计、数据挖掘、机器学习,包括数据整理、模型建立、评估优化、模型应用, 对数据挖掘算法的优化和编写,以及各算法和模型的分布式工程化实现

3.     Responsible for performance management and optimization of data processing, contribute to database architecture design  负责数据处理性能调优,对数据库整体架构提出建议

4.     Follow up frontier algorithm outcome, testing and applying 跟进前沿算法研究,尝试成果并应用

任职要求

1.     Major in mathematics, statistics, computational science, and related disciplines, mastering of data structure and algorithm theory, strong knowledges in data mining, machine learning, probability and statistics theory, bachelor degree and above, phd preferred. 数学、统计学、计算机等相关专业, 良好的数据结构及算法基础,具备数据挖掘、机器学习、概率统计、统计学等基础理论知识,本科以上学历,最好博士学历

2.     Mastering of machine learning (i.e. LR, SVM, Maximum entropy model, decision tree, RNN, CNN, etc), mastering of classification, clustering, forecast, apriori algorithm, sequence pattern mining, strong knowledge on frontier technology and advantage and disadvantages of individual algorithm and its application adaption. 熟悉常用机器学习算法(如LRSVM、最大熵模型、决策树、RNNCNN等),掌握常用的分类、聚类、预测、关联规则、序列模式等算法,了解机器学习前沿技术,了解算法的优缺点及适用场景

3.     Mastering of R, PYTHON, data visualization, etc technology 熟练掌握RPYTHON、数据可视我等相关技术

4.     Experiences in using open source platform, i.e. Caffe/TensorFlow/PaddlePaddle/CNTK/Liblinear. 有相关开源机器学习平台(Caffe/TensorFlow/PaddlePaddle/CNTK/Liblinear)的使用经验

5.     At least mastering one kind of relational database development, i.e. oraclemysqlImpala. 至少掌握一门关系数据库应用开发(如,oraclemysqlImpala等)

6.     Priority given to the talent who has power or energy conversion education background. 有电力行业学历或经验者优先

7.     Priority given to the talent who has the experiences in using Java or Python in Spark related projects, or experiences in other large scale distributed computing platform and parallel computing algorithm development. 有在Spark相关项目中应用JavaPython语言的经验者优先, 有大规模分布式计算平台的使用和并行算法的开发经验者优先;

8.     Good communication and learning ability, relatively strong team work and agile response for solution. 有良好的沟通和学习能力,有较强的团队协作能力,以及快速解决问题的能力


Job ID: 79450

Organisation: Corporate Technology

Experience Level: Recent College Graduate

Job Type: Full-time





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