Data jobs

Join a global lead tech company as a Lead Data Warehouse Engineer, where you'll manage and optimize data infrastructure, focusing on real-time and batch data integration. Lead a talented team to build efficient data products and drive smarter business decisions with advanced data techniques and analytics.

Drive large-scale data architecture and optimize high-performance systems as a Big Data Engineer on Recommendation Architecture Team. Use your expertise in big data frameworks to build innovative, scalable solutions that enhance user experiences for millions globally.

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.

Leverage your expertise in data science and machine learning to drive innovative business solutions.

• 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.

• Responsible for the overall architecture design of the data product, develop the relevant functional requirements and promote the implementation.

工作职责：

利用数据分析和机器学习技术，优化商品【定价策略】和【大促活动】的数据策略

• 与营销、运营和供应链团队紧密合作，确保数据驱动的策略有效实施。
• 领导数据科学团队，推动数据分析项目，提升团队的专业技能和创新能力。

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.

1、负责境外投资数据的收集、整理、建模和分析；

2、负责对接彭博、路透等数据服务商；

1、 构建并优化平台物流数据看板体系和数据分析体系，提升业务决策效率

2、深度分析看清业务问题、机会及破局点，协同横向优化

3、 联合数据团队,构建多维分析、离线建模可视化等分析工具

1. 
   
   算法开发与优化：具备强大的算法开发能力，包括但不限于机器学习、深度学习等，应用于企业销量预测
2. 
   
   数据处理与分析：能够处理和分析大量数据
3. 
   
   业务理解与应用: 深入理解业务，将算法应用于实际业务中，以推动业务创新和决策支持

• 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 be part of the project team and will be responsible for overseeing all finance-related data requirements, including data collection, storage, cleansing, and consumption.

1、负责中心数据产品架构的梳理
2、负责包括数据可视化平台、画像平台等的建设
3、负责探索数据赋能业务的机会点，并且推动目标达成

Our client is a FMCG MNC with steady expansion. This role is setup to help building the framework of business analysis embedding ROI mindset.

We are seeking a highly experienced Data Scientist to join our team at Luxury Brand Co. As a Data Scientist, you will play a pivotal role in driving data-driven decision-making across our luxury brand portfolio. You will be responsible for analyzing complex data sets, developing predictive models, and providing actionable insights that will help us understand consumer behavior, optimize marketing strategies, and enhance customer experiences.

Working at a famous elevator company, mainly responsible for designing AI solutions, developing machine learning and NLP models, providing application support, and fostering relationships to drive AI adoption while collaborating on enterprise solutions. You will join a team with rich experience and innovative ability, and work together with team members to analyse complex data and improve data processing skills

Working at a famous elevator company, mainly responsible for building model to solving business needs and point by using Python. You will join a team with rich experience, and work together with team members to analyse complex data and improve data processing skill.

Working at a well-known luxury brand, mainly responsible for understanding and analysing the business pain points of different business lines, building and optimising models based on business indicators, and providing them to the IT team of the business department. You will join a team with rich experience and innovative ability, and work together with team members to analyse complex data and improve data processing skills

• 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.