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.

We are hiring a seasoned Head of QA to lead a 200-person global quality assurance team for a financial derivatives trading platform. This role will define and drive the QA strategy, automation, and compliance processes across multiple regions, ensuring product reliability and regulatory alignment, reporting directly to the CTO.

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.

We are looking for an APP Product Owner for a foreign high-end hotel brand.

The Infra Lead will oversee the technological infrastructure of the organisation, ensuring optimal performance and reliability. This role in the Technology & Telecoms industry requires strong leadership and hands-on expertise to manage systems in a fast-paced environment.

• 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

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。

Data Governance specialist - NDMO experience | Riyadh | Government Entity

• 参与大数据平台的整体架构设计，覆盖数据采集、存储、计算、分析及可视化全链路，确保系统高可用、高性能及可扩展性。
• 根据业务需求，选择阿里云（如MaxCompute、EMR、DataWorks）或 AWS（如Redshift、EMR、S3）等云平台技术，结合开源组件（如Hadoop、Spark、Flink、Kafka、HBase）实现技术方案。

As a senior member of the team, the candidate will lead the design and implementation of scalable and robust backend services, demonstrating deep expertise in microservices architecture and proficiency in developing and deploying applications in cloud environments. Candidates with IOT (Internet of Things) related work experience, especially in handling large-scale data processing, will be given priority consideration.

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 consumer company is seeking a Digital product tech lead

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.

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.

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.