Data Engineer/数据工程师
博世(上海)安保系统有限公司成都高新分公司(博世通讯中心)
- 公司规模:500-1000人
- 公司性质:外资(欧美)
- 公司行业:外包服务
职位信息
- 发布日期:2024-07-01
- 工作地点:苏州·苏州工业园区
- 工作经验:2年
- 学历要求:本科
- 职位月薪:1-1.5万·13薪
- 职位类别:Data Engineer/数据工程师
职位描述
职位描述
1.协助团队进行数据的预处理,包含:数据清洗,数据检查,包括离线和实时数据处理,海量数据处理。建立一套自动化的,标准的企业数据预处理流程。
Assist the team in data pre-processing, including: Data cleansing, data quality check, including offline and real-time data processing, and mass data processing. Establish an automated, standard data preprocessing processes.
2.数据治理,与业务部门一起,梳理企业的数据资产,和企业数据闭环。实施数据资产及数据闭环的建设,如协助公司的数据平台的设计,开发等。
Data governance, together with the business unit, carding the data assets and the data loop of the enterprise. Take part in the Implementation of data assets and data loop, such as design and development of the data platform.
3.和各业务部门进行沟通、梳理业务痛点,将业务痛点转换为数据理解,探索多种算法来解决业务问题。主动创新,探索前沿的机器学习方法并应用到实际业务中,提升效率。
Communicate with various business departments, convert business pain points into data understanding, and explore varieties of AI algorithms to solve business problems. Actively innovate, explore cutting-edge machine learning methods and apply them to practical business, enhance the digital transformation.
4.建立数据应用科学评价体系、应用机器学习、深度学习等数据模型对业务景进行统计分析、聚类分析、异常检测、及回归预测。
Establish data application science evaluation system, apply machine learning, in-depth learning and other data models to carry out statistical analysis, cluster analysis, anomaly detection and regression prediction.
职位要求
1. 硕士以上学历,专业计算机科学、数学、物理、或工程相关专业等理工科专业。Master degree or above, major in computer science, mathematics, physics, or engineering related majors
2.1-3年数据分析与挖掘经验,会使用主流大数据工具,如Hadoop,Clickhourse,spark,Flink。1-3 years of experience in data analysis and mining, able to use mainstream big data tools, such as Hadoop, Clickhouse, spark and Flink
3、熟悉理解主流机器学习算法,逻辑回归,kmeans,朴素贝叶斯,决策树,随机森林,xgboost... .Familiar with mainstream machine learning algorithms, logistic regression, kmeans, naive Bayes, decision tree, random forest, xgboost
4、理解能够应用主流机器学习即数据处理框架 numpy, sklearn, pandas,pytorch, tensorflow.
5、有基于业务输入进行数据分析、算法建模的相关经验。Experience in data analysis and algorithm modeling based on business input.
6、有较强的沟通能力及团队协作能力;Strong communication skills and teamwork skills;
1.协助团队进行数据的预处理,包含:数据清洗,数据检查,包括离线和实时数据处理,海量数据处理。建立一套自动化的,标准的企业数据预处理流程。
Assist the team in data pre-processing, including: Data cleansing, data quality check, including offline and real-time data processing, and mass data processing. Establish an automated, standard data preprocessing processes.
2.数据治理,与业务部门一起,梳理企业的数据资产,和企业数据闭环。实施数据资产及数据闭环的建设,如协助公司的数据平台的设计,开发等。
Data governance, together with the business unit, carding the data assets and the data loop of the enterprise. Take part in the Implementation of data assets and data loop, such as design and development of the data platform.
3.和各业务部门进行沟通、梳理业务痛点,将业务痛点转换为数据理解,探索多种算法来解决业务问题。主动创新,探索前沿的机器学习方法并应用到实际业务中,提升效率。
Communicate with various business departments, convert business pain points into data understanding, and explore varieties of AI algorithms to solve business problems. Actively innovate, explore cutting-edge machine learning methods and apply them to practical business, enhance the digital transformation.
4.建立数据应用科学评价体系、应用机器学习、深度学习等数据模型对业务景进行统计分析、聚类分析、异常检测、及回归预测。
Establish data application science evaluation system, apply machine learning, in-depth learning and other data models to carry out statistical analysis, cluster analysis, anomaly detection and regression prediction.
职位要求
1. 硕士以上学历,专业计算机科学、数学、物理、或工程相关专业等理工科专业。Master degree or above, major in computer science, mathematics, physics, or engineering related majors
2.1-3年数据分析与挖掘经验,会使用主流大数据工具,如Hadoop,Clickhourse,spark,Flink。1-3 years of experience in data analysis and mining, able to use mainstream big data tools, such as Hadoop, Clickhouse, spark and Flink
3、熟悉理解主流机器学习算法,逻辑回归,kmeans,朴素贝叶斯,决策树,随机森林,xgboost... .Familiar with mainstream machine learning algorithms, logistic regression, kmeans, naive Bayes, decision tree, random forest, xgboost
4、理解能够应用主流机器学习即数据处理框架 numpy, sklearn, pandas,pytorch, tensorflow.
5、有基于业务输入进行数据分析、算法建模的相关经验。Experience in data analysis and algorithm modeling based on business input.
6、有较强的沟通能力及团队协作能力;Strong communication skills and teamwork skills;
公司介绍
Bosch (Shanghai) Security Systems Ltd. Chengdu Gaoxin Branch (Bosch Communication Center)
Established in 1985 as a monitoring center and provider of communication services, Bosch Communication Center today ranks among the leading international providers of Business Process Outsourcing services.
Employing some 5,000 associates in Europe, Asia and South America Bosch Communication Center provides and optimizes business processes for our customers. The high quality standards for which Bosch is renowned worldwide are maintained in the services we offer in Marketing & Sales, Customer Services, Finance & Accounting, Security & Safety, Facility Management, Purchasing, Logistics & Production, IT & Technology and HR Management services that are offered in over 30 languages.
博世服务解决方案中心(成都)成立于2012年,目前员工二百余人。其作为全球世界500强博世集团的全资子公司,持续为博世亚太区内外部企业提供呼叫中心和财务解决方案服务。呼叫中心在成都和上海分别与博世内外部优质客户如宝马,奔驰,英飞凌,戴姆勒等维持长期稳定的合作关系;博世中国财务共享中心业务覆盖二十余家中国博世企业,包括应付、应收、总账、固定资产、员工报销、主控数据管理、持续流程改善管理等集中业务。博世服务解决方案中心(成都)以其优质的服务和高效的流程,为我们客户提供专业的通讯服务、财务后台支持,帮助客户在其领域取得更好的竞争优势。
Imprint: ****************/en/terms-of-use/provider
Privacy Statement: ****************/en/terms-of-use/privacy-statement
Established in 1985 as a monitoring center and provider of communication services, Bosch Communication Center today ranks among the leading international providers of Business Process Outsourcing services.
Employing some 5,000 associates in Europe, Asia and South America Bosch Communication Center provides and optimizes business processes for our customers. The high quality standards for which Bosch is renowned worldwide are maintained in the services we offer in Marketing & Sales, Customer Services, Finance & Accounting, Security & Safety, Facility Management, Purchasing, Logistics & Production, IT & Technology and HR Management services that are offered in over 30 languages.
博世服务解决方案中心(成都)成立于2012年,目前员工二百余人。其作为全球世界500强博世集团的全资子公司,持续为博世亚太区内外部企业提供呼叫中心和财务解决方案服务。呼叫中心在成都和上海分别与博世内外部优质客户如宝马,奔驰,英飞凌,戴姆勒等维持长期稳定的合作关系;博世中国财务共享中心业务覆盖二十余家中国博世企业,包括应付、应收、总账、固定资产、员工报销、主控数据管理、持续流程改善管理等集中业务。博世服务解决方案中心(成都)以其优质的服务和高效的流程,为我们客户提供专业的通讯服务、财务后台支持,帮助客户在其领域取得更好的竞争优势。
Imprint: ****************/en/terms-of-use/provider
Privacy Statement: ****************/en/terms-of-use/privacy-statement
联系方式
- 公司地址:成都 (邮编:610041)
- 电话:13308198772