{"id":4028853,"url":"https://alion.io/job/corbion-global-rd-data-scientist","title":"Global R&D Data Scientist","company":{"id":1864108,"name":"Corbion","domain":"corbion.com","url":"https://alion.io/company/corbion","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gorinchem, Netherlands"],"countries":["NL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-10T17:54:34Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-10T17:54:34Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"At Corbion, we exist to champion preservation in all its forms, preserving food and food production, health, and our planet.\nThe role\nAre you a Data Scientist who wants to use advanced analytics to solve real-world challenges in an international manufacturing environment?\nAs a Data Scientist, you will join and strengthen our Data Science team and report to a Principal Data Scientist. You will help transform complex manufacturing, laboratory, and business data into actionable insights that improve product quality, process performance, yield, and productivity and overall decision-making.\nYour work will range from exploratory data analysis and troubleshooting to predictive and prescriptive modelling. For example, you may investigate why a plant is losing yield, combine high-frequency sensor data with laboratory results, identify the root cause, and develop a model that recommends optimal process parameters or recipe settings.\nThis is a global role in which you will collaborate with colleagues across manufacturing, innovation, and commercial functions in different countries. You will also play an important role in making advanced analytics understandable and accessible to stakeholders with different levels of technical expertise.\nKey Responsibilities\nUse advanced analytics, statistical methods, machine learning, and AI to generate actionable insights and measurable business impact across manufacturing, innovation, and commercial activities.\nAnalyze large and complex datasets, including high-frequency plant and sensor data, laboratory results, and relevant metadata.\nPrepare imperfect real-world datasets for analysis through data cleaning, preprocessing, feature engineering, and exploratory data analysis.\nDevelop predictive models to support areas such as product-quality prediction, process monitoring, troubleshooting, and performance improvement.\nApply prescriptive analytics to identify optimal process conditions, parameter settings, input variables, or recipe configurations.\nDeliver statistical consulting in areas such as experimental design, data interpretation, predictive modelling, and advanced statistical analysis.\nTranslate business or scientific questions into clearly defined analytical problems and scalable data-driven solutions.\nCommunicate complex models and analytical findings through clear recommendations, presentations, visualizations, and reports for both technical and non-technical stakeholders.\nCreate data visualizations and reporting solutions using tools such as Power BI.\nWork with cross-functional and international stakeholders to advance digitalization and data-driven decision-making across multiple manufacturing locations.\nExplore, develop, and pilot innovative machine-learning and AI solutions while recognizing the importance of data quality, data maturity, and sound statistical foundations.\nPromote best practices in coding, version control, documentation, model development, and data-science methodologies.\nSupport capability building by delivering training sessions, workshops, and practical guidance to users and stakeholders.\nContribute to the continuous development of the organization’s data-science and digital capabilities.\nYou bring\nRequirements\nA master’s degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, Chemistry, Chemical Engineering, or another relevant STEM discipline. A PhD is welcome. A bachelor’s degree may also be considered when combined with substantial relevant industry experience.\nAt least a few years of relevant experience applying data science in an industrial environment.\nExperience with manufacturing or process data and an affinity with process manufacturing, chemistry, biochemistry, fermentation, or a related scientific field.\nStrong proficiency in Python and the ability to independently build, evaluate, explain, and improve analytical and machine-learning models.\nA solid understanding of the statistical and theoretical principles behind machine learning, including the ability to explain why a particular model or method is appropriate.\nDemonstrable experience using machine learning or advanced statistical modelling to solve real-world problems and create measurable value.\nExperience with data preparation, exploratory data analysis, feature engineering, predictive modelling, and model evaluation.\nThe ability to work with complex data from different sources and frequencies, such as sensor data, laboratory data, process data, and contextual metadata.\nExperience with data visualization and reporting tools such as Power BI.\nStrong analytical, critical-thinking, and problem-solving skills, combined with a practical focus on turning data into business value.\nExcellent communication skills, with the ability to translate complex algorithms and technical findings into recommendations that non-technical stakeholders can understand and act upon.\nThe ability to independently manage multiple projects and priorities while maintaining a proactive and results-oriented approach.\nA collaborative mindset and the ability to work effectively in cross-functional and international teams.\nPreferred\nExperience in a global process-manufacturing environment.\nKnowledge of manufacturing optimization, product-quality prediction, yield improvement, process troubleshooting, or productivity optimization.\nExperience with chemometrics, Process Analytical Technology, spectroscopic data, fermentation data, or other scientific and industrial analytics applications.\nProficiency in R in addition to Python.\nExperience with SQL or other tools used to access and gather data.\nExperience with Microsoft Azure, Azure DevOps, cloud-based analytics platforms, code repositories, and version control.\nExperience developing scalable analytics solutions and supporting the digitalization of manufacturing processes.\nExposure to AI-enabled development tools for code review, optimization, or related data-science activities.\nWhat we offer\nThe opportunity to apply data science to tangible, high-impact challenges in manufacturing, innovation, and commercial operations.\nA varied role in which you can work across the full analytical cycle, from understanding the business question and preparing complex datasets to developing models and presenting recommendations.\nAccess to challenging industrial datasets, including high-frequency sensor data, laboratory results, and manufacturing-process information.\nThe chance to make a visible contribution to process optimization, product quality, yield improvement, and digital transformation.\nAn international working environment with exposure to stakeholders and manufacturing locations across different regions.\nThe opportunity to help shape and further develop a growing data-science capability within the organization.\nCollaboration with colleagues whose expertise includes data science, chemometrics, Process Analytical Technology, fermentation, and data management.\nRoom to explore new analytical methods, pilot machine-learning and AI solutions, and help establish effective standards for coding, documentation, and model development.\nThe opportunity to make advanced analytics understandable and useful throughout the organization by sharing your expertise through training, workshops, and stakeholder guidance.\nChallenging and meaningful work at the intersection of data science, science, innovation, and manufacturing, with a direct contribution to creating sustainable value.\nAbout Corbion\nCorbion is a sustainable ingredients company dedicated to preserving what matters, including food and food production, health, and the planet. We specialize in lactic acid, lactic acid derivatives, food preservation solutions, functional blends, and algae ingredients, using our deep application and product knowledge to propel nature’s ingenuity through science. With more than a century of experience, we continue working side-by-side with our customers to make our cutting-edge technologies work for them. Leveraging our advanced capabilities in fermentation and preservation technology, we help customers differentiate their products in diverse markets ranging from food and animal nutrition to home & personal care, pharmaceuticals, electronics, medical devices, and bioplastics.In 2025, Corbion generated annual sales of €1,267.4 million and had a workforce of 2,408 FTE. For more information: www.corbion.com\nCorbion is an equal opportunity employer and committed to a diverse workplace. All applicants will be considered equally.\n Corbion does not accept unsolicited resumes from individual recruiters or third party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers. All candidates must be submitted by approved Corbion vendors who have been expressly requested to make a submission by our Talent Acquisition team for a specific job opening. No placement fees will be paid to any firm unless such a request has been made by the Corbion Talent Acquisition team and such candidate was submitted to the Corbion Talent Acquisition Team.","description_format":"text","description_chars":9107,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Biomaterials","Industrial Biotechnology","Chemical Manufacturing","Food Ingredients"],"lifecycle":[{"event":"open","at":"2026-11-10T17:54:34Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":26,"reasons":["conf:3","win:early"],"computed_at":"2026-11-10T21:01:32Z"},"pay":null,"html_url":"https://alion.io/job/corbion-global-rd-data-scientist","json_url":"https://alion.io/job/corbion-global-rd-data-scientist.json","meta":{"generated_at":"2026-11-10T21:01:32Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":14215,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-11T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1864108},"rest":"https://alion.io/mcp/rest/get_company?id=1864108"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcorbion-global-rd-data-scientist"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fcorbion-global-rd-data-scientist"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fcorbion-global-rd-data-scientist"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/corbion-global-rd-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcorbion-global-rd-data-scientist"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4028853}},{"tool":"search_jobs","arguments":{"company":"corbion.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4028853},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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