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Data Governance specialist - NDMO experience | Riyadh | Government Entity

该岗位将负责电商搜索与推荐的核心算法研发，包括排序、召回、特征建模、模型训练及线上优化。

你将利用深度学习及大模型技术推动用户体验、点击率、转化率与 GMV 的提升。

We are seeking an Application Engineer to join the Technology department within the Retail industry. The role is based in Shanghai and requires expertise in supporting and enhancing applications to meet business needs.

This is an exciting opportunity for a Cyber Security professional to join a organisation within the Media & Agency industry. The role is based in Shanghai and focuses on ensuring the security and protection of the company's technological infrastructure.

The SAP FICO Manager position will be responsible for SAP project roll out from zero to both APAC and global business. It will lead a team of consultants in charge of planning, implementation and delivery.

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

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.

***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.

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。

* 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。

We are seeking a skilled HubSpot CRM Specialist to join our team in Shanghai, working within the Media & Agency industry. The role involves managing and optimising the HubSpot platform to enhance digital operations and customer relationship management.

该岗位将主导新一代分布式数据库系统的核心模块研发，包括存储引擎、查询优化、事务系统等关键领域。你将负责技术攻关、底层架构优化，并参与全球开源社区建设，推动产品在 AI 与云原生场景中的升级迭代

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；

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.

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