[Skip to main content](#main-content)

[OpenNash Jobs](https://jobs.opennash.com/)
[Hiring report](/reports/hiring/) · [All S.F. Holding jobs](https://jobs.opennash.com/companies/sf-holding/) · [Search jobs](/search/)

S.F. Holding · 上海市

# 供应链战略咨询高级专员

上海市 

Listed on S.F. Holding’s official careers site. Posted September 14, 2026. Check that it is still open and apply there.
[Apply on S.F. Holding’s careers site →](https://crs-pub.sf-express.com/recruitcenter/#/positionDetail/116622?jobId=72968&role=3)

[OpenNash Jobs](https://jobs.opennash.com/) / [S.F. Holding](https://jobs.opennash.com/companies/sf-holding/) / 供应链战略咨询高级专员

## Job description

### 职责
- 深入不同行业供应链场景，诊断采购、排产、仓储、运输等环节痛点，将业务问题抽象为算法问题。
- 运用运筹优化、深度学习、强化学习等技术，针对网络流、TSP、VRP、选址、装箱、排产排程等问题建模求解。
- 熟练使用 CPLEX、Gurobi、SCIP 等求解器或开发启发式算法，结合 AI 大模型探索供应链智能决策应用。
- 推动算法方案在业务中落地，跟踪库存周转、缺货率、履约时效、物流成本等指标并持续优化。
- 参与供应链数智化方案设计，推动模型、算法、场景的标准化与技术沉淀。

### 任职要求

1、硕士及以上，运筹学、工业工程、供应链、数学、计算机等相关专业优先。 2、2 年以上运筹优化/供应链算法经验，有制造、快消、汽车、通信高科技等行业经验加分。 3、熟悉网络流、TSP、VRP、选址、装箱、排产排程等运筹模型，能选择合适算法并优化。 4、熟悉 CPLEX、Gurobi、SCIP 等求解器，或完整实现过启发式算法，或能通过大模型解决优化问题。 5、熟悉 Q-Learning、SARSA、Actor-Critic 等强化学习模型，能进行算法开发与调优。 6、熟练掌握 Python / Java / Rust 中至少一种，具备工程化与代码封装能力。 7、具备一定业务理解、方案沟通和跨团队推动能力。

## At a glance
- Posted by the employer: Sep 14, 2026
- First seen by OpenNash: Oct 12, 2026
- Last checked: Oct 19, 2026
- Listed for: 35 days
- Location: 上海市[Apply on S.F. Holding’s careers site →](https://crs-pub.sf-express.com/recruitcenter/#/positionDetail/116622?jobId=72968&role=3)

## More jobs at S.F. Holding

### [2B退货负责人](https://jobs.opennash.com/companies/sf-holding/jobs/7e27b5f0de3196ec1583/)

上海市

### [AI全栈开发工程师（Vibe Coding方向）](https://jobs.opennash.com/companies/sf-holding/jobs/96325bb1e58cc3cbe4ac/)

上海市

### [IE流程管理工程师](https://jobs.opennash.com/companies/sf-holding/jobs/3bef4e2bb3e1f5da5892/)

上海市

### [KA客户经理](https://jobs.opennash.com/companies/sf-holding/jobs/46657a2d4fccbc6ad29b/)

上海市

OpenNash lists jobs from employers’ own careers sites and does not handle applications.
Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

OpenNash Jobs · Official listings with dates and links to the employer. [Weekly hiring report](/reports/hiring/) · [Methodology](/methodology/)