summary

上海, shanghai
CNY500,000 - CNY600,000 per year
permanent

job category
information technology

job details

about the company.
Internet

about the team.
Data

...

about the job.

Collect and analyze customer service related data to identify trends, issues and opportunities for improvement
Evaluate and optimize customer service processes to improve efficiency and customer satisfaction through data analysis.
Prepare regular reports to provide management with key performance indicators (KPIs) and business insights on customer service.
Monitor the performance of the customer service team to ensure that the quality of service meets company standards.
Collect and analyze customer behavior to understand customer needs and improve service.
Collaborate with other departments to ensure customer service processes are aligned with the company's overall business objectives.
Analyze customer data and segment customers in order to provide a more personalized service.

skills and experience required.

Bachelor’s degree in computer science, engineering, mathematics, statistics, data science or a related degree program with outstanding academic results with 5+ years working experience or equivalent MS with 3+ years working experience in analytics area
SQL proficiency required: can extract data from large databases using SQL to develop data queries
Excellent problem-solving skills including the ability to analyze and resolve complex problems
Organized and structured: can manage multiple, competing priorities and deliver results under tight deadlines and pressure
Excellent communication skill, fluent in English, both written and oral.
Quick learning capability under rapid changing environment.
Can-do attitude and be willing to take challenges.
Show respect for differences in opinions and one-team spirit
Strong business sense and analytics ability.
Must be data savvy and love crunching numbers: love the idea of working in an international and multicultural company, analyzing billions of actions from millions of travelers choosing from thousands of hotels
Must want to tell an impactful story with analysis and smart data visualization, not just number crunch
Able and willing to share your opinion and propose ideas to improve operations based on data and have an impact on the customer experience
Attentive to detail and committed to data integrity
Experience in one data analysis package, such as R /Python on popular machine learning algorithms, such as Logistic Regression, Decision Tree.
Experience in data analysis methodology like hypothesis testing, A/B Test.

about the company.
Internet

about the team.
Data

...

about the job.

Collect and analyze customer service related data to identify trends, issues and opportunities for improvement
Evaluate and optimize customer service processes to improve efficiency and customer satisfaction through data analysis.
Prepare regular reports to provide management with key performance indicators (KPIs) and business insights on customer service.
Monitor the performance of the customer service team to ensure that the quality of service meets company standards.
Collect and analyze customer behavior to understand customer needs and improve service.
Collaborate with other departments to ensure customer service processes are aligned with the company's overall business objectives.
Analyze customer data and segment customers in order to provide a more personalized service.

skills and experience required.

Bachelor’s degree in computer science, engineering, mathematics, statistics, data science or a related degree program with outstanding academic results with 5+ years working experience or equivalent MS with 3+ years working experience in analytics area
SQL proficiency required: can extract data from large databases using SQL to develop data queries
Excellent problem-solving skills including the ability to analyze and resolve complex problems
Organized and structured: can manage multiple, competing priorities and deliver results under tight deadlines and pressure
Excellent communication skill, fluent in English, both written and oral.
Quick learning capability under rapid changing environment.
Can-do attitude and be willing to take challenges.
Show respect for differences in opinions and one-team spirit
Strong business sense and analytics ability.
Must be data savvy and love crunching numbers: love the idea of working in an international and multicultural company, analyzing billions of actions from millions of travelers choosing from thousands of hotels
Must want to tell an impactful story with analysis and smart data visualization, not just number crunch
Able and willing to share your opinion and propose ideas to improve operations based on data and have an impact on the customer experience
Attentive to detail and committed to data integrity
Experience in one data analysis package, such as R /Python on popular machine learning algorithms, such as Logistic Regression, Decision Tree.
Experience in data analysis methodology like hypothesis testing, A/B Test.

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算法工程师
- 上海, shanghai
- permanent
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about the company.我们的客户是一家行业内非常知名的大厂。about the job.1. 负责医疗健康平台核心场景（如医生/医院搜索、健康资讯推荐、医疗服务推广）的算法研发与迭代。2. 应用机器学习、深度学习及NLP技术，深入理解医疗语义，构建高质量的用户健康画像和医疗内容/服务画像。3. 持续优化召回、排序机制，提升医患匹配效率、内容分发准确率及商业化转化率（CTR/CVR）。4. 在追求算法指标的同时，兼顾医疗行业的严谨性、合规性与用户体验。skills and experience required.1. 计算机、数学或相关专业本科及以上学历，具备扎实的编程能力（Python/C++）。2. 熟悉主流深度学习框架（TensorFlow/PyTorch），在搜索、推荐系统或计算广告领域有实际落地经验。3. 掌握经典的机器学习和深度学习算法（如Word2Vec, Transformer, DeepFM等）原理。4. 具备NLP医疗文本处理经验，或参与过医疗知识图谱构建者优先。
posted 28 november 2025
about the company.我们的客户是一家行业内非常知名的大厂。about the job.1. 负责医疗健康平台核心场景（如医生/医院搜索、健康资讯推荐、医疗服务推广）的算法研发与迭代。2. 应用机器学习、深度学习及NLP技术，深入理解医疗语义，构建高质量的用户健康画像和医疗内容/服务画像。3. 持续优化召回、排序机制，提升医患匹配效率、内容分发准确率及商业化转化率（CTR/CVR）。4. 在追求算法指标的同时，兼顾医疗行业的严谨性、合规性与用户体验。skills and experience required.1. 计算机、数学或相关专业本科及以上学历，具备扎实的编程能力（Python/C++）。2. 熟悉主流深度学习框架（TensorFlow/PyTorch），在搜索、推荐系统或计算广告领域有实际落地经验。3. 掌握经典的机器学习和深度学习算法（如Word2Vec, Transformer, DeepFM等）原理。4. 具备NLP医疗文本处理经验，或参与过医疗知识图谱构建者优先。
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供应链系统开发工程师
- 上海, shanghai
- permanent
- CNY500,000 - CNY800,000 per year
关于职位1.掌握工厂现场实际需求，通过创新和技术打造有业务价值的系统，推动迅销和工厂数字化改革。2.负责供应链系统的架构、设计、开发、测试和运维。参与项目管理，质量管理。3.主动学习和解决各种极具挑战的业务和系统架构问题技能和经验要求1.计算机科学学位或同等学历2.5年以上的编程经验（Java、JavaScript 、SpringBoot、React等）3.5年以上系统架构、设计和测试经验4. 3年以上系统运维管理经验5.AWS、Docker的知识/经验6.在时尚服装行业的系统开发和运营业务的经验者优先（非必要）7.在跨国团队担任工程师的领导经验者优先（非必要）8.具有构建和运营大型 Web 服务的经验者优先（非必要）9.具有构建和运营生产和物流等供应链的经验者优先（非必要）10.与外部合作伙伴和系统集成商一起开发和运营的经验者优先（非必要）11.熟悉持续集成、持续部署等自动化技术者优先（非必要）12.有AI Agent架构、运用经验。解决实际业务问题者优先（非必要）13.有开发分布式系统、高并发系统、高可
posted 24 november 2025
关于职位1.掌握工厂现场实际需求，通过创新和技术打造有业务价值的系统，推动迅销和工厂数字化改革。2.负责供应链系统的架构、设计、开发、测试和运维。参与项目管理，质量管理。3.主动学习和解决各种极具挑战的业务和系统架构问题技能和经验要求1.计算机科学学位或同等学历2.5年以上的编程经验（Java、JavaScript 、SpringBoot、React等）3.5年以上系统架构、设计和测试经验4. 3年以上系统运维管理经验5.AWS、Docker的知识/经验6.在时尚服装行业的系统开发和运营业务的经验者优先（非必要）7.在跨国团队担任工程师的领导经验者优先（非必要）8.具有构建和运营大型 Web 服务的经验者优先（非必要）9.具有构建和运营生产和物流等供应链的经验者优先（非必要）10.与外部合作伙伴和系统集成商一起开发和运营的经验者优先（非必要）11.熟悉持续集成、持续部署等自动化技术者优先（非必要）12.有AI Agent架构、运用经验。解决实际业务问题者优先（非必要）13.有开发分布式系统、高并发系统、高可
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商业分析（海外）
- 上海, shanghai
- permanent
- CNY400,000 - CNY800,000 per year
about the company.互联网about the team.BAabout the job.1、熟悉各种数据统计的方法，有较强的数据获取能力，能够对现有数据进行分析从而发现问题；须具备较强的报表可视化能力。2、较强的业务理解能力，结合业务投放场景，能够快速的进行分析及策略的定制；有效进行渠道预算与风险管理，有优化思维，有效制定获客与运营策略。3、有敏锐的洞察力，极强的逻辑分析能力，能够利用现有数据，对将来或其他不确定问题进行预估，并且能够设计多种指标相互验证。4、有信贷背景知识，能够针对信贷全流程业务进行诊断，有效串联投放，老户运营和风险三个环节的关系。能够提出有效解决方案。skills and experience required.1、本科及以上学历，2年以上分析相关经历，其中必须包含1年以上信贷业务相关分析经历。2、具有较强的数据分析能力和逻辑思维能力。3、熟悉掌握互联网行业数据分析方法、精通 SQL、 SAS 或者 Python 等数据统计处理和分析工具。4、良好的学习能力、沟通协调和驱
posted 17 november 2025
about the company.互联网about the team.BAabout the job.1、熟悉各种数据统计的方法，有较强的数据获取能力，能够对现有数据进行分析从而发现问题；须具备较强的报表可视化能力。2、较强的业务理解能力，结合业务投放场景，能够快速的进行分析及策略的定制；有效进行渠道预算与风险管理，有优化思维，有效制定获客与运营策略。3、有敏锐的洞察力，极强的逻辑分析能力，能够利用现有数据，对将来或其他不确定问题进行预估，并且能够设计多种指标相互验证。4、有信贷背景知识，能够针对信贷全流程业务进行诊断，有效串联投放，老户运营和风险三个环节的关系。能够提出有效解决方案。skills and experience required.1、本科及以上学历，2年以上分析相关经历，其中必须包含1年以上信贷业务相关分析经历。2、具有较强的数据分析能力和逻辑思维能力。3、熟悉掌握互联网行业数据分析方法、精通 SQL、 SAS 或者 Python 等数据统计处理和分析工具。4、良好的学习能力、沟通协调和驱
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商业分析师（insight）.

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