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崗位職責(zé):
1、賦能公司打造切實可行的賦能研發(fā)的數(shù)字化解決方案。
2、協(xié)同研發(fā)各條線，跟蹤評估AI方向前沿技術(shù)，識別并解決Al+相關(guān)實際問題，創(chuàng)造實際價值。
3、負責(zé)研發(fā)數(shù)字化轉(zhuǎn)型項目的全生命周期管理，包括內(nèi)部實施以及由外部供應(yīng)商實施的項目。
4、負責(zé)公司現(xiàn)有數(shù)字化系統(tǒng)的運維管理，包括日常監(jiān)控（系統(tǒng)性能、數(shù)據(jù)完整性、功能穩(wěn)定性）、故障排查與快速響應(yīng)。
5、具備一定數(shù)據(jù)處理能力，支持業(yè)務(wù)部門不定期的數(shù)據(jù)需求，并保證數(shù)據(jù)質(zhì)量。
6、其它由部門負責(zé)人安排的相關(guān)工作事項。
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.

任職要求:
1、碩士及以上，具有化學(xué)大類(化學(xué)工程、材料科學(xué))、電子信息大類(計算機、自動化)碩士學(xué)位:在具有化學(xué)大類相關(guān)背景的前提下具有統(tǒng)計學(xué)相關(guān)知識優(yōu)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年以上研發(fā)相關(guān)數(shù)字化系統(tǒng)開發(fā)、實施或管理經(jīng)驗
3+ years of experience in development, implementation, or management of R&I-related digital systems
3、英語熟練
Fluent in English.
4、熟悉實驗設(shè)計等常用數(shù)據(jù)分析方法和工具。熟練掌握Python,R,C++,中至少一種計算機語言使用數(shù)據(jù)驅(qū)動的方法解決過實際生產(chǎn)問題，實現(xiàn)工藝過程的多目標(biāo)優(yōu)化，有時序大模型落地相關(guān)經(jīng)驗者優(yōu)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、具備優(yōu)秀的AI產(chǎn)品思維及設(shè)計能力;具備良好的管理項目能力和溝通能力，具備自主解決問題的能力;了解數(shù)字化轉(zhuǎn)型，數(shù)據(jù)驅(qū)動方法實際應(yīng)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、較好的邏輯思維能力、協(xié)調(diào)能力和組織能力
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.