岗位职责:

1、赋能公司打造切实可行的赋能研发的数字化解决方案。
2、协同研发各条线，跟踪评估AI方向前沿技术，识别并解决Al+相关实际问题，创造实际价值。
3、负责研发数字化转型项目的全生命周期管理，包括内部实施以及由外部供应商实施的项目。
4、负责公司现有数字化系统的运维管理，包括日常监控（系统性能、数据完整性、功能稳定性）、故障排查与快速响应。
5、具备一定数据处理能力，支持业务部门不定期的数据需求，并保证数据质量。
6、其它由部门负责人安排的相关工作事项。

1、Enable the company to develop practical digital solutions that empower R&I, driving efficiency and innovation.
2、Collaborate with cross-functional R&I teams to track and evaluate cutting-edge AI technologies, identify and solve AI-related challenges, and deliver tangible business value.
3、Lead end-to-end lifecycle management of R&D digital transformation projects, including both in-house implementations and those delivered by external vendors.
4、Oversee the operation and maintenance of existing digital systems, including routine monitoring (system performance, data integrity, functional stability), troubleshooting, and rapid issue resolution.
5、Leverage data processing skills to support ad-hoc business data requests while ensuring high data quality and reliability.
6、Other relevant tasks assigned by the department head in alignment with business objectives.

1、硕士及以上，具有化学大类(化学工程、材料科学)、电子信息大类(计算机、自动化)硕士学位:在具有化学大类相关背景的前提下具有统计学相关知识优先:
Master Degree or above.Master’s degree in Chemistry-related fields (Chemical Engineering, Materials Science) or Electronics & Information-related fields (Computer Science, Automation); candidates with a background in Chemistry and additional knowledge of statistics are preferred.
2、3年以上研发相关数字化系统开发、实施或管理经验
3+ years of experience in development, implementation, or management of R&I-related digital systems
3、英语熟练
Fluent in English.
4、熟悉实验设计等常用数据分析方法和工具。熟练掌握Python,R,C++,中至少一种计算机语言使用数据驱动的方法解决过实际生产问题，实现工艺过程的多目标优化，有时序大模型落地相关经验者优先
Familiarity with common data analysis methods and tools (e.g., experimental design). Proficient in at least one programming language (Python, R, or C++) and experience in solving real-world production problems using data-driven approaches, achieving multi-objective process optimization. Preference given to candidates with experience in large time-series model deployment.
5、具备优秀的AI产品思维及设计能力;具备良好的管理项目能力和沟通能力，具备自主解决问题的能力;了解数字化转型，数据驱动方法实际应用落地
Strong AI product thinking and design skills; excellent project management and communication abilities; capable of independent problem-solving. Knowledge of digital transformation and practical application of data-driven methodologies.
6、较好的逻辑思维能力、协调能力和组织能力
Strong AI product thinking and design skills; excellent project management and communication abilities; capable of independent problem-solving. Knowledge of digital transformation and practical application of data-driven methodologies.