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119 Data Analysis and Mathematics Jobs in China
Problems accumulate on the desk; models get built, tested, refined under steady deadlines.
Average salary: CNY 408,422
Average salary
CNY 408,422
across 116 jobs
- 自动驾驶数据挖掘专家
- Bosch Group
- Suzhou, China
- CNY 400,000 – CNY 600,000
- 国服广告业务测试工程师（数据向）
- 沐瞳科技 (MOONTON Games)
- Shanghai, China
- CNY 250,000 – CNY 400,000
- 算法工程师（Prediction）
- Pony.ai
- Beijing, Guangzhou, China
- CNY 400,000 – CNY 800,000
- 影像算法工程师/专家
- Xiaomi
- Shanghai, Beijing +1 more, China
- CNY 500,000 – CNY 800,000
- 基座模型和仿真算法工程师
- Desay SV
- Shanghai, Beijing, China
- CNY 500,000 – CNY 800,000
- AI计算核算法分析工程师
- 北京思朗科技有限责任公司
- Shanghai, Beijing +2 more, China
- CNY 250,000 – CNY 400,000
- 多物理场算法工程师
- 北京思朗科技有限责任公司
- Shanghai, Beijing, China
- CNY 300,000 – CNY 500,000
- 世界模型研究员
- XPENG
- Shanghai, Beijing +1 more, China
- CNY 350,000 – CNY 600,000
- 数据价值算法工程师
- XPENG
- Shanghai, Beijing +1 more, China
- CNY 300,000 – CNY 450,000
- 大模型算法工程师（VLA/VLM/WM/具身）
- XPENG
- Shanghai, Beijing, China
- CNY 300,000 – CNY 500,000
- 通用智能AI平台研发工程师
- XPENG
- Shanghai, Beijing +1 more, China
- CNY 300,000 – CNY 450,000
- 语音大模型算法工程师
- XPENG
- Shanghai, Beijing, China
- CNY 300,000 – CNY 500,000
- 数据工程实习生
- XPENG
- Shanghai, Beijing +1 more, China
- CNY 52,000 – CNY 78,000
- Freelance Game LQA Tester (Simplified Chinese to Korean)
- TransPerfect
- Shanghai, China
- CNY 41,600 – CNY 62,400
- 物理世界基座模型研究员
- NIO
- Shanghai, Beijing, China
- CNY 400,000 – CNY 600,000
- 多模态大模型算法工程师（OCR/文字理解方向）
- ModelBest
- Shanghai, Beijing +2 more, China
- CNY 500,000 – CNY 800,000
- 数据分析师（校招）
- NIO
- Shanghai, Wuhan, China
- CNY 200,000 – CNY 300,000
- 校招-数据分析与策略
- NIO
- Shanghai, Wuhan, China
- CNY 200,000 – CNY 300,000
- 校招-数据科学工程师
- NIO
- Shanghai, Wuhan, China
- CNY 200,000 – CNY 300,000
- 校招-数据分析师
- NIO
- Shanghai, Hefei, China
- CNY 200,000 – CNY 300,000
- 校招-算法开发工程师
- NIO
- Shanghai, Hefei, China
- CNY 200,000 – CNY 350,000
- 实习-语音大模型算法工程师（TTS）
- NIO
- Shanghai, Beijing, China
- CNY 78,000 – CNY 130,000
- 端到端智能辅助驾驶算法研究员
- NIO
- Shanghai, Beijing, China
- CNY 300,000 – CNY 500,000
- 端到端大模型闭环数据算法工程师
- NIO
- Shanghai, Beijing, China
- CNY 500,000 – CNY 800,000
- Data Mining
- Lenovo
- Tianjin, China
- CNY 200,000 – CNY 300,000
- Analytics Engineer
- Apple
- Shanghai, China
- CNY 400,000 – CNY 600,000
- 世界模型研究员
- XPENG
- Shanghai, Beijing +1 more, China
- CNY 300,000 – CNY 500,000
- 大模型算法工程师（VLA/VLM/WM/具身）
- XPENG
- Shanghai, Beijing, China
- CNY 300,000 – CNY 500,000
- 数据价值算法工程师
- XPENG
- Shanghai, Beijing +1 more, China
- CNY 250,000 – CNY 400,000
- 语音大模型算法工程师
- XPENG
- Shanghai, Beijing, China
- CNY 300,000 – CNY 400,000
- 世界模型及环境感知算法工程师
- XPENG
- Shanghai, Beijing +1 more, China
- CNY 300,000 – CNY 450,000
- 数据工程实习生
- XPENG
- Shanghai, Beijing +1 more, China
- CNY 52,000 – CNY 78,000
- 运动控制算法实习生（强化学习方向）
- XPENG
- Shanghai, Beijing +1 more, China
- CNY 104,000 – CNY 156,000
- 车辆数据分析
- Dcar
- Beijing, Chongqing, China
- CNY 150,000 – CNY 250,000
- 算法策略工程师
- 上海得物信息集团有限公司
- Shanghai, Beijing +1 more, China
- CNY 250,000 – CNY 400,000
- 算法研究员-视觉方向
- 上海得物信息集团有限公司
- Shanghai, Hangzhou, China
- CNY 300,000 – CNY 450,000
- 数据算法工程师
- Neolix
- Shanghai, Beijing, China
- CNY 400,000 – CNY 600,000
- 感知算法工程师
- Neolix
- Shanghai, Beijing, China
- CNY 300,000 – CNY 500,000
- 具身大模型数据工程师
- XPENG
- Shanghai, Beijing +2 more
- CNY 300,000 – CNY 600,000
- Omni模型算法工程师/研究员
- XPENG
- Beijing, Shenzhen, China
- CNY 600,000 – CNY 1,200,000
- 影像算法工程师/专家
- Xiaomi
- Shanghai, Beijing +1 more, China
- CNY 500,000 – CNY 900,000
- 高级数据分析师（产品）
- 塔斯汀 Fuzhou Tasiting Catering Management Co., Ltd.
- Beijing, Fuzhou, China
- CNY 250,000 – CNY 400,000
- 高级数据分析师（营销方向）
- 塔斯汀 Fuzhou Tasiting Catering Management Co., Ltd.
- Beijing, Fuzhou, China
- CNY 300,000 – CNY 480,000
- 高级数据分析师（广告AD）
- 塔斯汀 Fuzhou Tasiting Catering Management Co., Ltd.
- Beijing, Fuzhou, China
- CNY 300,000 – CNY 500,000
- 高级数据分析师（用户增长）
- 塔斯汀 Fuzhou Tasiting Catering Management Co., Ltd.
- Beijing, Fuzhou, China
- CNY 300,000 – CNY 500,000
- 高级数据分析师（货盘）
- 塔斯汀 Fuzhou Tasiting Catering Management Co., Ltd.
- Beijing, Fuzhou, China
- CNY 240,000 – CNY 420,000
- 高级数据分析师（经营）
- 塔斯汀 Fuzhou Tasiting Catering Management Co., Ltd.
- Shanghai, Fuzhou, China
- CNY 300,000 – CNY 450,000
- GNSS算法工程师（2026届校招）
- ASENSING
- Shanghai, Guangzhou, China
- CNY 200,000 – CNY 350,000
- AI 评测工程师（大模型 / 智能体方向）
- ModelBest
- Shanghai, Beijing +1 more, China
- CNY 300,000 – CNY 600,000
- 数据治理专家（大模型数据 / 行业知识数据方向）
- ModelBest
- Shanghai, Beijing +1 more, China
- CNY 300,000 – CNY 600,000
Data analysis and mathematics roles involve building statistical models, testing hypotheses, cleaning datasets, and translating findings into actionable insights for decision-makers. Employers typically require strong foundational mathematics, proficiency with programming languages like Python or R, and experience with statistical software or SQL. These positions span across finance, tech, healthcare, and research organizations, from startups to established enterprises. Entry-level analysts often support senior mathematicians or data scientists; mid-career professionals lead analytical projects independently; advanced roles involve methodology development and team leadership.
Data Analysis and Mathematics jobs by city
- Shanghai79
- Beijing65
- Singapore42
- Bengaluru41
- Colombia40
- Shenzhen30
- Brussels25
- Hyderābād24
- Warsaw24
- London24
- Paris22
- Lisbon22
- Gurugram20
- Dublin19
- São Paulo19
- Madrid17
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- Software Development10134
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- IT Managers2063
- Business Intelligence1343
- Database Specialists709
- Front-End Application Design529
Questions
What formal qualifications do employers expect?
A degree in mathematics, statistics, physics, or computer science is standard; some roles accept strong candidates with relevant work experience or bootcamp credentials. Advanced positions increasingly require demonstrated portfolio work or published research alongside formal education.
What does a typical day involve?
Time splits between writing and debugging code, exploring datasets, documenting assumptions, attending stakeholder meetings, and iterating on models based on feedback. The balance varies: some days are heavily computational; others involve more communication and explanation.
How do data analysts differ from data scientists?
Analysts typically focus on describing what happened in existing data and producing reports; data scientists emphasize predictive modeling and building systems that run continuously. The boundary blurs in practice, especially at smaller organizations.
What programming skills matter most?
Python and R dominate analytical work, though SQL for database queries is equally essential. Employers also value familiarity with version control, visualization libraries, and increasingly, cloud platforms.
How much of the role involves communicating findings?
Communication accounts for a substantial portion—presenting results to non-technical stakeholders, writing documentation, and defending methodological choices in meetings. Strong analysis means nothing if it cannot be understood or acted upon.
What distinguishes this from pure mathematics research?
Applied data work prioritizes practical business or scientific questions over theoretical exploration; timelines are shorter, stakeholders are more diverse, and the goal is actionable insight rather than peer-reviewed discovery.
How do mathematicians transition into data roles?
Strong theoretical foundations transfer well, though practitioners need to develop programming skills and learn domain-specific tools. Many start in junior analytical roles or complete bridging certifications.
What kind of problems feel repetitive versus novel?
Data cleaning, formatting, and quality checks recur constantly; modeling and interpretation vary depending on the project. Seniority often means more time on novel problems and less on routine preprocessing.
Do these roles require travel or unusual hours?
Most positions are office-based or remote with standard hours, though deadline-driven projects occasionally demand extended weeks. Client-facing roles may involve occasional site visits or stakeholder presentations outside normal hours.
How does career progression typically work?
Early roles focus on technical execution under supervision; mid-level positions involve leading analyses and mentoring juniors; senior roles emphasize strategy, methodology, and hiring. Progression depends on both technical depth and leadership capability.