It职位 - 中国地区

* 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.

• 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.

该职位负责协助分公司梳理年度战略，跟踪从战略解码到项目落地的全流程，并优化项目管理机制。通过跨部门协作和流程迭代，确保重点项目高效推进。

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

The role of Data Product Owner involves overseeing the development and optimisation of data products to meet business objectives within the FMCG industry.

This is an exciting opportunity for a Data Scientist to join a good business services company in Shanghai. The role involves working within the Data department to deliver data insights and solutions.

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.

作为一名安全项目管理办公室（Security PMO），您将负责在快速消费品（FMCG）行业中协调和管理技术部门的安全相关项目。该职位需要具备优秀的项目管理技能以及对技术安全的深刻理解。

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

To lead the digital transformation of Sales Force Effectiveness (SFE) and online business enablement.
This role is pivotal in driving execution excellence, operational efficiency, and data-driven insights through innovative digital solutions

我们正在寻找一位具备人形机器人硬件经验的负责人，统筹结构与硬件团队的研发工作。该岗位将直接参与公司核心产品的架构设计与工程落地，是推动机器人从原型走向量产的关键角色。

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.

As the company's business expands rapidly, we are looking for a Data Product Requirements Analyst to help further optimise and enhance our data processing capabilities.

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).

1. 负责集团相关数据产品的可视化系统设计，将数据资产化，发挥数据价值；
2. 协助各BI报表的出具，保证数据质量。
3. 规划及管理相关数据产品，主导梳理集团各业务域版块的核心指标设计