It职位招聘信息

• 拥有计算机科学、数学、统计学或相关领域的本科及以上学历。
• 拥有计算机科学、数学、统计学或相关领域的本科及以上学历。熟练掌握至少一种编程语言，如Python、Java或C++。
• 有机器学习和数据处理的实际项目经验。
• 有机器学习和数据处理的实际项目经验。对大数据技术有深入理解，熟悉Hadoop、Spark等数据处理框架。
• 对大数据技术有深入理解，熟悉Hadoop、Spark等数据处理框架。具备良好的团队合作精神和沟通能力。

• 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.

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

1. The position is subject matter expert on workspace area
2. Build the solution to support end user needs in business, particularly as virtual working environment
3. Work with business and IT Application / Archi team and vendors to elevate the user experience of daily work

This role will serve as the EC Project Manager, overseeing the planning and execution of omnichannel digital projects, including e-commerce platforms, membership systems, order fulfilment, and data infrastructure. The ideal candidate should have strong project management skills and experience in digital system implementation, with the ability to coordinate cross-functional teams and ensure high-quality delivery.

As an Agile Coach, you will be a key driver of our organization's agile transformation journey, focusing on building and scaling agile capabilities across retail digital and business teams.

Primarily responsible for identifying business pain points and creating product prototypes for validation starting from concepts, lead the team to develop and implement products, closely collaborating with various business lines to meet demanding business requirements, and driving business innovation.

• 作为大中华区的业务信息技术负责人，与信息系统与技术与全球总部进行技术合作。 向全球技术团队提供深入的技术洞察，并参与战略业务决策。
• 识别新兴技术和趋势，并提出我们如何利用它们来不断创新的想法，关注中国的数字生态系统。
• 与利益相关者紧密合作，明确优先事项和关键举措。

• Digital Product Strategy and Roadmap:
• Digital Product Development:
• Product Go to Market
• Team Leadership and Management

Data Governance specialist - NDMO experience | Riyadh | Government Entity

Take charge of driving innovation and growth in B2B products as a Product Head. Based in Shenzhen, this leadership role requires a strategic thinker to enhance product development and market impact.

In charge of lead internal employees and supplier teams to deliver the Power BI project, oversee project technical details, maintain good communication with external teams, and ensure delivery time and quality.

• Develop an evolving data Architecture for China.
• Key role in designing future data stack technical roadmap.
• The data architect is responsible for consistently available and trusted master data across the enterprise.​

一家外资零售快消行业巨头的ETL开发岗位，提供你在快节奏环境中与年轻的团队一起成长学习的机会，帮助完成在大陆地区核心项目的数据库的搭建。

1、数据分析 - 结合业务痛点通过数据分析找到生意现象的本质原因，及推荐决策和期待的决策效果；

2、发展战略制定 -结合业务发展目标和现今痛点，定位并量化业务未来的发展主要动力，能制定未来短期中期和长期业务发展规划和战略，用数据指导业务发展战略；

A medical company is seeking an information security Lead

Our client is seeking a skilled and innovative Robotics Engineer to design, develop, and implement robotic systems that enhance automation and improve operational efficiency and success rates. The ideal candidate will have a strong background in mechanical, electrical, and software engineering, along with expertise in robotics technologies, sensors, and control systems.

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.

A consumer company is seeking a Digital product tech lead

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.