Senior Scientist - Data Science & AI, Industrial Process Analytics

Senior Scientist \u2014 Data Science \u0026 AI, Industrial Process Analytics\n\nLocation: Delft(NL) OR Geneva(CH)\n\nAre you excited to apply modern data science to real production plants, help process engineers act faster, smarter, and deliver measurable sustainability impact? Join our Industrial Process Analytics team to build advanced analytics that optimize chemical and biochemical manufacturing at scale.\n\nKey responsibilities:\n\n * Design, build, and ship scalable data science applications for manufacturing - from first idea to validated, deployed product.\n * Implement model\u2011 and data\u2011driven approaches that support plant engineers and operators in day\u2011to\u2011day decisions.\n * Collaborate in multi\u2011disciplinary teams (data scientists, process/chemical engineers, cloud \u0026 data engineers, reliability and production experts) to improve yield, throughput, quality, reliability, and sustainability.\n * Generate insights and convert them into measurable impact.\n * Champion a data\u2011driven mindset across sites; communicate results with clarity to technical and non\u2011technical stakeholders.\n * Contribute to best practices for data analysis, coding and MLOps.\n * Stay up to date with state-of-the-art methods, scout and implement new technology in-house\n\n\n\nWe offer:\n\n * Direct impact on manufacturing operations and sustainability KPIs.\n * A global Advanced Analytics team focused on optimizing biotech and chemical processes\u2014fully aligned with dsm-firmenich\u2019s manufacturing excellence strategy.\n * Real\u2011world challenges and exposure to all businesses. Opportunity to contribute strongly to both manufacturing operations as well as S\u0026R up- and downscaling.\n * An experienced, supportive community that has optimized plants worldwide\u2014and room to grow your expertise in both ML and manufacturing.\n\n\n\nYou Bring:\n\n * PhD or similar experience in (Bio)Chemical Engineering or a related field, or Data Science/Statistics/Computer Science.\n * 3-7 years of additional academic or industrial work experience in manufacturing data science, ideally for (bio)chemical processes.\n * Strong hands\u2011on Machine Learning expertise and rigorous, real\u2011world validation\n * Modeling for industrial settings: you can dive into methods and details, yet make pragmatic calls in a results\u2011driven environment.\n * Excellent communication and \u201cdomain translation\u201d skills\u2014partnering with engineers, operators, and leadership; navigating complex stakeholder landscapes.\n * Excellent problem-solving skills and proven ability to work both independently and collaboratively.\n * Ability to create end\u2011to\u2011end computational workflows, from data ingestion to deployment and monitoring.\n * Understanding of (bio)chemical processes and process control, ideally including:\n * Experience processing and modeling time\u2011series, tabular, and panel/longitudinal/multi\u2011way data; exposure to multivariate process analytics/chemometrics. Experience with MPC or system identification is a strong advantage.\n * Physics\u2011based and hybrid modeling (e.g., gray\u2011box, surrogate models, PINNs, digital twins) is a strong plus.\n * Familiarity with vision and text\u2011based GenAI (for operator guidance, documentation mining, inspection, etc.) is a plus.\n\n\n\nTechnical skills \n \n\n\nAdvanced Analytics and Machine Learning\n\n * Python and core Data Science stack for data manipulation, visualization, statistics, ML/DL, and time\u2011series/forecasting.\n * Multivariate modeling / Chemometrics for process monitoring and root\u2011cause analysis.\n * Model interpretability and uncertainty\n\n\n\nSoftware engineering \u0026 lifecycle\n\n * Software engineering best practices: git, code review, linting/formatting, unit/integration tests (pytest), packaging (uv), containers (Docker), exposure to CI/CD.\n * Familiarity with data engineering and model management (DBT, databases, MLFlow)\n\n\n\nNice to have\n\n * Process analytics with Seeq or TrendMiner\n * Causal \u0026 robust modeling: DoE/experiment design, Bayesian methods, causal inference, drift detection\n * Hybrid \u0026 control\u2011aware modeling: physics\u2011informed/gray\u2011box models, surrogates for optimization, MPC integration.\n * GenAI, LLMOps, agentic AI, Vision Language Models\n * Cloud platforms, AWS, Azure, Databricks.\n * Online learning, IoT and edge scenarios, streaming and real-time\n * Workflows: Nextflow/CWL or alternatives for reproducible pipelines, Cora cloud pipeline\n * API and webapp development (FastAPI, Flask, Django, streamlit, JavaScript)\n\n\n\nThe application process:\n\nInterested in this position? Please apply on-line by uploading your resume (English) via our career portal.\n\nAbout dsm-firmenich\n\nAt dsm-firmenich, we don\u2019t just meet expectations \u2013 we go beyond them.\n\nJoin our global team powered by science, creativity, and a shared purpose: to bring progress to life.\n\nFrom elevating health to making fortified food and sustainable skincare, the impact of your work here will be felt by millions \u2013 every single day. Whether it\u2019s fragrance that helps you focus, alternative meat that\u2019s better for the planet, or reducing sugar without losing flavor, this is where you help shape the future of nutrition, health, and beauty for everyone, everywhere.\n\nAnd while you\u2019re making a difference, we\u2019ll make sure you\u2019re growing too. With learning that never stops, a culture that lifts you up and the freedom to move across businesses, teams, and borders. Your voice matters here. And your ideas? They\u2019re essential to our future. \n\nBecause real progress only happens when we go beyond, together.\n\nInclusion, belonging and equal opportunity statement\n\nAt dsm-firmenich, we believe being a force for good starts with the way we treat each other. When people feel supported, included, and free to be themselves, they do their best work \u2013 and that\u2019s exactly the kind of culture we\u2019re building. A place where opportunity is truly equal, authenticity is celebrated, and everyone has the chance to grow, contribute, and feel they belong.\n\nWe\u2019re proud to be an equal opportunity employer, and we\u2019re serious about making our hiring process as fair and inclusive as possible. From inclusive language and diverse interview panels to thoughtful sourcing, we\u2019re committed to reflecting the world we serve.\n\nWe welcome candidates from all backgrounds \u2014 no matter your gender, ethnicity, sexual orientation, or anything else that makes you, you.\n\nAnd if you have a disability or need any support through the application process, we\u2019re here to help \u2013 just let us know what you need, and we\u2019ll do everything we can to make it work.\n\nAgency statement\n\nWe\u2019re managing this search directly at dsm-firmenich. If you\u2019re applying as an individual, we\u2019d love to hear from you. We\u2019re not accepting agency submissions or proposals involving fees or commissions for this role.\n