Innovation Coordinator or Data Engineer

3 weeks ago

Jinan, China Bosch Full time
Job Description

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.
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。
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.
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。
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.
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。
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.
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。
Motivate team’s innovation.
激发团队的创新力。

Qualifications

Education学历
Master degree or above, major in computer science, mathematics, physics, or engineering related majors.
硕士及以上学历，专业计算机科学、数学、物理、或工程相关专业等理工科专业。

Experience工作经验
1-3 years of experience in data analysis and mining, able to use mainstream big data tools, such as Hadoop, Clickhouse, spark and Flink
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
Familiar with mainstream machine learning algorithms, logistic regression, kmeans, naive Bayes, decision tree, random forest, xgboost…
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等
Understand and be able to apply mainstream machine learning, data processing framework numpy, sklearn, pandas, pytorch, tensorflow…
理解能够应用主流机器学习即数据处理框架 numpy, sklearn, pandas,pytorch, tensorflow等
Experience in data analysis and algorithm modeling based on business input
有基于业务输入进行数据分析、算法建模的相关经验
Strong communication skills and teamwork skills
有较强的沟通能力及团队协作能力

Skills 技能
Excellent communication skills in English and Mandarin both written and verbal
良好的英语及普通话书面及口语交流技能
Knowledge of German language desirable
具有德语能力者更佳
Strong interpersonal skills with an ability to work in a diverse team
有很强的人际交往能力，能在多样化团队中工作
Ability to follow established procedures, practices and instructions
能够遵循既定的程序，惯例和指示
Excellent computer skills in MS office incl. Word, Excel, PowerPoint.
良好的计算机及办公软件（Word, Excel, PowerPoint) 应用能力
Driver license required
有驾驶证

Other其它
Good health
身体健康
Strong sense of compliance
较强的合规意识
Strong sense of responsibilities
较强的责任心
Self-motivated, team-spirited and able to work under pressure
能够自我激励，具有团队精神，能在压力下工作
Must be flexible and willing to travel domestically / internationally, with base in Jinan
能够灵活安排工作及出差（国内/国际），工作地在济南
Able to work overtime if necessary
必要时能够加班
Based in Jinan is preferred
长住济南者优先
Hold positive attitude whenever facing different opinions or other problems and take necessary actions to facilitate solutions.
出现意见不合或其他问题时能够以积极的态度应对，并采取行动积极配合以促进问题的解决。

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