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• Globally well-known company - Data Lead

  Shanghai

  全职

  RMB800,000 - RMB1,000,000 per year

  • You will work on various aspects of Big data analytics and development, Data Management, Governance and Information Architecture.
  • Design and develop data solution architecture on scalability, good performance and flexibility throughout the entire data life cycle (ingestion, storage and consumption
  • Define and prioritise product requirements, user stories, and acceptance criteria for data and analytics products and ensure what was agreed gets delivered

  • Globally well-known MNC Platform
  • Great career development, Big data lead

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• 数据分析负责人/Data analytics lead

  Shanghai

  全职

  1、 构建并优化平台物流数据看板体系和数据分析体系，提升业务决策效率
  
  2、深度分析看清业务问题、机会及破局点，协同横向优化
  
  3、 联合数据团队,构建多维分析、离线建模可视化等分析工具

  • 跨境物流头部企业
  • 业务高速发展，发展潜力大，带团队

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• Globally well-known tech company - Senior Data Scientist, NLP

  Shanghai

  全职

  RMB40 - RMB55 per month (RMB480 - RMB660 per year)

  • UtilizeUtilize advanced data analysis, modelingmodeling, and machine learning techniques to develop predictive and prescriptive models that drive business outcomes.
  • Develop and implement machine learning algorithms and artificial intelligence solutions to address complex business problems.
  • Keep abreast of the new trends and technologies in data science to contribute to the development of innovative solutions.

  
  
  

  • Globally well-known platform
  • Career development

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• Globally Sporty Company - Data Product Manager

  Shanghai

  全职

  Job Responsibilities:

  • Data Analysis: Perform in-depth data analysis to identify trends and insights.
  • Product Development: Drive the development of data-driven products and services.
  • User Experience: Ensure data products meet the needs of end-users and enhance their experience.

  
  
  

  • Globally Sporty Company
  • Work from home or remote, open culture, oversea travel

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• Hot job: Globally well-known MNC Company - Data Architecture

  Shanghai

  全职

  RMB600,000 - RMB800,000 per year

  • Develop and maintain data models that align with business requirements and technical constraints.
  • Collaborate with cross-functional teams to define data architecture strategies.
  • Ensure data integrity, security, and compliance with industry standards.
  • Lead data integration projects and manage data migration activities.

  • Globally well-known MNC Company
  • Open culture; Work life balance

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