China Job Openings

BASF Asia Pacific

Senior Data Scientist(006095)

November 18, 2024

位于南京的巴斯夫中国数字化中心吸引、培养和发展充满热情的数字化人才,他们将对巴斯夫的数字化未来产生深远的影响。快来加入我们,成为巴斯夫数字化之旅的一部分。

Digital Hub China in Nanjing attracts, grows, and develops passionate people who will meaningfully impact the digital future of BASF. Come join us and be a part of our digitalization journey.

Objectives:
我们的制造与Op Ex团队为运营部门和中央职能部门提供有关制造和资产效率的全球数据支持,并为巴斯夫的生产提供所需的透明度。这些数据是我们改进生产流程的重要组成部分。
您正在开发基于新型人工智能驱动技术的新应用。您的任务包括准备各种数据、创建统计分析、选择和训练机器学习模型及其评估。
Our Manufacturing & Op Ex Intelligence Team is supporting the operational divisions and central functions with global data around Manufacturing, Asset Effectiveness and provides the required transparency for BASF production. This data is the essential part of all improvements of our manufacturing processes.
You are developing new applications based on novel AI-driven technologies. Your tasks include preparation of a wide range of data, creation of statistical analyses, selection and training of machine learning models and their evaluation.

Main Task:
  • 您需要使用最先进的数据科学框架,开发新算法,并为我们的内部业务合作伙伴创建解决方案。
  • 您需要使用数据挖掘、数据可视化、机器学习和编程技能。
  • 您要了解数据科学和化工行业研究的最新进展,并与巴斯夫和外部数据科学界保持联系。
  • 支持非数据科学家使用用户友好型算法、Do E 工具和建模平台。
  • You work with state-of-the art data science frameworks, develop new algorithms, and create solutions for our internal business partners.
  • You use data mining, data visualization, machine learning, and programming skills.
  • You stay up to date with the latest advancements in data science and chemical industry research and maintain contact with the BASF and external data science communities.
  • You support the use of user-friendly algorithms, Do E tools, and modeling platforms by non-data scientists.

  • 自然科学、工程学、数学或其他学科的大学学位,如商业信息学、工业工程学或其他同等学历。
  • 至少 3 年相关工作经验
  • 具有敏捷工作方式或敏捷实施方法的经验
  • 在数据分析、数据管理、安全、可视化以及为业务利益相关者提供咨询方面有深入的经验,并在数据分析、数据科学、数据挖掘或机器学习领域有实践经验。
  • 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.

Nice to have
  • 项目管理经验
  • Experience in project management

巴斯夫中国数字化中心于2020年在南京成立。作为全球数字中心的重要部分,中国中心正在迅速发展中,未来将会有更多岗位开放。巴斯夫专注于数字化和创新的IT解决方案,以增强巴斯夫在中国的IT化和专业化,为巴斯夫带来了一支全方位的数字化人才团队,在中国独特的数字化环境中创造解决方案。中心还为湛江一体化基地等大型项目的智能制造做出贡献。
在巴斯夫,我们为可持续发展的未来,创造化学新作用。我们将经济成功与环境保护相结合。我们肩负社会责任。巴斯夫集团超过110,000名员工为巴斯夫的成功做出了贡献。我们的客户遍布世界上几乎所有行业和几乎每个国家。我们的产品组合分为六个部分:化学品,材料,工业解决方案,表面活性剂,营养与护理以及农业解决方案。巴斯夫2020 年销售额为 590 亿欧元。更多信息请见 www.basf.com。

Digital Hub China was founded in 2020 in Nanjing. As part of the Global Digital Hub Verbund, the hub is rapidly growing with a target of a three-digit number of employees in coming years. Focused on digitalization and innovative IT solutions to enhance BASF’s IT portfolio and expertise in China, it brings an all-around capable team of digital talents to create solutions in the context of China’s unique digital landscape to BASF. It also contributes to the smart manufacturing endeavors for the new mega project in Zhanjiang.
At BASF, we create chemistry for a sustainable future. We combine economic success with environmental protection and social responsibility. More than 110,000 employees in the BASF Group contribute to the success of our customers in nearly all sectors and almost every country in the world. Our portfolio is organized into six segments: Chemicals, Materials, Industrial Solutions, Surface Technologies, Nutrition & Care and Agricultural Solutions. BASF generated sales of €59 billion in 2020. Further information at www.basf.com.

BASF Asia-Pacific Service Center is based in Malaysia, we may reach you via Malaysia phone number.

请时刻警惕任何可能的招聘欺诈行为!请注意,巴斯夫绝不会在任何情况下向候选人以任何形式收取任何费用。
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