About this role
Job ID: 42037 | Location: Shanghai, Shanghai, China | Work Model: Hybrid
Total Target Cash Compensation: ¥514,500.00 – ¥686,000.00
Total Target Cash includes base salary and annual bonus; final offer based on skills and experience.
Responsibilities
- Identify and shape high-value machine learning use cases across R&D, manufacturing and customer operations (i.e., catalyst formulation and performance prediction, process and yield optimisation, predictive quality), working directly with researchers, process engineers and technical service teams
- Own use cases end to end: problem framing, hypothesis development, data exploration, modelling, validation, and handover into operational use
- Act as a trusted advisor to local stakeholders: challenge assumptions, quantify value, and shape regional digital priorities together with the global BU digital team
- Translate scientific and business problems into concrete data science plans with clear success criteria
- Review and challenge modelling approaches across the regional portfolio, ensuring scientific rigour and business relevance
- Partner with data engineering, data scientists, platform and product colleagues in the global team to get the data you need and bring solutions into operational use
- Mentor junior data scientists and analysts, and build data science literacy within the local R&D and manufacturing teams
Requirements
- Master's or PhD in Data Science, Computer Science, Applied Mathematics, Chemical or Process Engineering, or a related STEM field
- 5+ years delivering end-to-end machine learning projects, with a track record of models that reached operational use rather than stopping at proof of concept
- Experience in an industrial or process-driven environment, e.g., chemicals, petrochemicals, pharma, materials or semiconductors; exposure to laboratory, plant or process data is a strong plus
- Strong Python (pandas, NumPy, scikit-learn, PyTorch or TensorFlow) and SQL, and the patience to work with incomplete and inconsistent real-world data. Experience with cloud is a plus
- Experience with design of experiments, hybrid or first-principles modelling, or with laboratory and plant data systems (LIMS, ELN, historians, MES) is a strong plus
- Proven ability to work independently with senior business and technical stakeholders, from framing problems, challenging assumptions to quantifying value without close supervision
- Fluent Mandarin and professional working proficiency in English; daily collaboration with the global digital team is in English