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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.
该公司正在推进全球化业务数字化升级,建设面向未来的数据能力体系。现招聘数据架构专家,负责规划企业级数据架构、数据平台演进及数据治理体系建设,支撑集团业务创新与智能化发展。
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.
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.
We are seeking a skilled and innovative Data Architect to join a well known retail organisation. This role will focus on designing and implementing efficient data solutions to support the organisation's technology initiatives in Shanghai.
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.
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:
这是一份面向技术和电信行业的数据与人工智能架构师的职位。此岗位需要候选人具备技术专长,并能够设计和优化先进的AI和数据架构。
作为数据平台经理,您将负责管理企业的数据平台,确保其高效、安全地支持业务需求。该职位需要具备技术专长和解决问题的能力,帮助公司在工业/制造行业中保持竞争优势。
该岗位将全面负责消费者数据的分析、建模与洞察输出,通过预测与实验支持业务决策。跨部门与跨区域环境中推动数据能力落地。
作为数据工程师,您将为零售行业的技术团队提供强有力的支持,推动数据驱动的业务决策。
工作职责:负责大数据分析咨询业务的售前客户需求沟通和理解,熟悉企业经营方式,深刻理解企业营销、销售、产研、财务、售后等至少两个以上领域,基于公司的大数据/AI产品和服务为客户定制解决方案
工作职责:1. 主要职责: 构建金融支付核心产品的关键业务指标体系,监控数据异常,分析潜在问题,及时识别业务风险,并提供专业建议以支持决策。2. 数据驱动决策: 与业务团队合作,进行数据建模和迭代优化,运用AB测试等方法评估改进效果,推动业务部门的数据驱动决策。
销售经理负责推动销售团队的业绩增长并建立长期客户关系。此职位需要在专业服务行业中具备出色的销售策略和团队管理能力。
把公司的精准数据在能源行业销售出去,包括但不限于数据产品、数据服务、大数据开发等
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