It职位 - 中国地区

The APAC Data Lead will oversee data strategy and management within the FMCG sector, ensuring data is effectively leveraged to drive business decisions.

this role will be responsible for managing and enhancing the organisation's information security policies, ensuring the protection of data and systems within the retail industry. This role is based in Shanghai and will focus on implementing security measures and managing potential risks.

作为CDO首席信息官，负责制定并推进公司"端到端"（从产品研发、智能制造到渠道销售、用户运营）的数字战略，通过技术+数据+业务融合，驱动营收增长、效率提升和用户体验升级。

The AI Director will lead and oversee the development and implementation of artificial intelligence strategies and technologies within the business services industry. This role requires expertise in technology leadership, innovation, and strategic planning to drive organisational success.

管理营销中心 数据和系统

• 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.

Are you passionate about data and technology? We are seeking a skilled Data Scientist to join our team and help drive innovative solutions in the Supply&Trading industry.

Responsible for providing technical leadership and expertise throughout the entire lifecycle of digital solutions (from design to decommissioning).

• 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。

***有海外学习或工作经历，英文可以作为工作语言

1. 学历及背景要求:硕士及以上学历，具有海外学习/工作经历或在华外资企业工作经历者优先
2. 精通机器学习算法，熟悉自然语言处理(NLP)技术，掌握计算机视觉技术
3. 深入理解农业机械行业知识，能够将AI模型部署到嵌入式系统或边缘计算设备

• You will implement generative AI use cases that bring measurable economic benefit by designing and implementing suitable generative AI solution architectures, including software design and Cloud architectures.
• You join and contribute in internal communities of practice in order to shape the generative AI tech-stack.

* Crafting, executing, and overseeing AI/ML solutions throughout their lifecycle, from inception to deployment.

* Pioneering cutting-edge machine learning models, particularly in the realm of deep learning, tailored for predictive tasks in the biomedical sector.

* Steering initial project conceptualization and establishing clear project parameters alongside subject matter specialists.

我们正在为一家科技与电信行业公司寻找一位经验丰富的语音AI/NLU工程师。此职位要求候选人具备扎实的技术背景，并能专注于自然语言理解和语音AI领域的开发与优化。

We are seeking a talented Full Stack Engineer to join a global company in payment industry. This role requires a skilled individual to contribute to innovative projects and collaborate with a dedicated team.

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；

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.

• 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.

• 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

This position will report to department head directly and work as an expert to support sales team

Need facing client and give solutions

You will bridge data science, marketing technology, and business strategy to optimize customer acquisition, engagement, and omni-channel experiences. By unifying customer data, media analytics, and AI-driven insights, you'll orchestrate personalized journeys across digital and physical touchpoints (e.g., media, e-commerce, retail).