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Data Scientist职位招聘信息

  • Data Scientist

    上海
    灵活
    在家办公或混合办公模式

    1. Led data science initiatives across multiple business units (Buying, Finance, Clienteling, Digital) to support commercial decision-making through predictive modeling and customer analytics

    2. Projects included traffic forecasting, sales prediction and pricing simulation, customer segmentation, and model deployment using MLOps tools in AWS

    • 0-1 global to china
    • work life balance
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  • Data scientist ( Luxury Gaint）

    上海
    灵活
    RMB25,000 - RMB40,000 月薪 (RMB300,000 - RMB480,000 年薪)

    We are seeking a highly experienced Data Scientist to join our team at Luxury Brand Co. As a Data Scientist, you will play a pivotal role in driving data-driven decision-making across our luxury brand portfolio. You will be responsible for analyzing complex data sets, developing predictive models, and providing actionable insights that will help us understand consumer behavior, optimize marketing strategies, and enhance customer experiences.

    • * Access to core business data of well-known luxury brands
    • * Connect with BU in different regions to obtain rapid growth opportunities
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  • Data scientist ( Manufacturing Gaint）

    上海
    灵活

    This role provides you with the opportunity to grow together with a young team in a good environment, and assist in completing the AI project landing for various BU groups in the Asia-Pacific region.

    • * Access to core business project of well-known brands
    • * Connect with BU in different regions to obtain rapid growth opportunities
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  • Globally well-known tech company - Senior Data Scientist, NLP

    上海市
    全职
    RMB40 - RMB55 月薪 (RMB480 - RMB660 年薪)
    • 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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