Senior Data Scientist

Senior Data Scientist

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

• Our Offer

• The opportunity to make a significant impact through data-driven transformation.

• A collaborative working environment with cross-functional teams.

• Professional development opportunities in a global specialty chemicals company.

• Competitive benefits, e.g., company shuttle bus, working meal, transportation allowance, supplementary medical insurance, annual physical examination, annual leave, annual sick leave. We’ll be happy to share more information during recruitment process.

• Performance related yearly bonus.

• Hybrid work model.

• Differential integrational occasions, e.g, Annual Dinner, or Family Day, or Outing, or Social Clubs, or inhouse GYM.

• Clariant is a Swiss-based global specialty chemicals company, which is concentrated and developed in three business units: Care Chemicals, Catalysts and Adsorbents & Additives. Our purpose as a company is reflected in our tagline "Greater chemistry - between people and planet", which considers the principles of customer, innovation and people orientation, as well as a focus on creating solutions to foster sustainability in different industries by offering high-value and high-performance chemical specialties.

• At Clariant, we believe that diversity, equity and inclusion are essential to our success. We strive to cultivate a workplace where all employees feel welcomed, respected, supported, and valued. Our diverse workforce allows us to tap into a wealth of perspectives, experiences, and capabilities that drive innovation. We are committed to ensuring equal opportunities for professional growth and advancement across all levels of the organization, based on objective criteria and regardless of gender, gender identity, race, ethnicity, religion, protected veteran status, age, disability, sexual orientation or other aspects of diversity in accordance with the relevant governing laws. By bringing together talented individuals with diverse backgrounds and viewpoints, we gain the agility to meet the evolving needs of our global customers and communities. Join our team to help advance our mission of fostering a culture of belonging where everyone can thrive.

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