职位&公司对比

招聘中

数据挖掘

-K
  • 互联网
  • A轮
招聘中

数据科学家-英语流利

-K·薪
某大型化工公司

职位详情

  • 南京
  • 不限
  • 不限
  • 数据挖掘

来自BOSS直聘kanzhun对数据boss挖掘来自BOSS直聘boss较大兴趣

职位详情

  • 南京
  • 5-10年
  • 本科
  • Python
  • 机器学习经验
  • 自然语言处理经验
  • 数据科学
  • 数据分析
  • 数据挖掘
  • 数据管理

Objectives: • Our Manufacturing & OpEx Intelligence Team is supporting the operational divisions and central functions with global data around Manufacturing, Asset Effectiveness and provides the required transparency for production. This data is the essential part of all improvements of our manufacturing processes. • You are heading the holistic data analysis and initiate improvements of data quality in core systems. Your tasks include preparation of a wide range of data, creation of statistical analyses, selection and training of kanzhunmachine learning models and their evaluation. Main Task: • You initiate and drive the data mining activities based on our ERP and production data and transkanzhunform them into meaninbossgful structures. • You work in cross-functional projects at the interface between manufacturing and engineering, understand data workflows and build a reliable data foundation. • You work with state-of-the art data science frameworks, develop new algorithms, and create solutions for our internal business partners. Job Requirements: • A university degree in the field of Natural Science, Engineering or Mathematics or other subjects, such as business informatics, industrial engineering, or other comparable education. • Minimum 3 years’ related working experience. • Experiencing Agile way of working or agile implementation approach • You have in-depth experience in data analysis, data management, security, visualization as well as in consulting for business stakeholders and have practical experience in the field of data analytics, data science, data mining or machine learning. • Fluent English communication skills. Nice to have: • Experience in project management.

技能解析

专有技能
  • 数据挖掘

    数据来自CSL职业科学研究室

    技能解析

      暂无识别出相关技能要求

      工作时间

      上午9:00   -   下午5:00
      双休偶尔加班

      公司福利

      • 五险一金
      • 定期体检
      • 全勤奖
      • 年终奖
      • 股票期权
      • 带薪年假
      • 员工旅游
      • 餐补
      • 通讯补贴
      • 交通补助
      • 节日福利

      备注

      职位发布者未明确表明公司信息,具体可咨询职位发布人进行确认。

      更新于 2025-05-18