Senior Data Scientist (m/f/d) Process Excellence
Senior Data Scientist (m/f/d) Process Excellence
Senior Data Scientist (m/f/d) Process Excellence
Senior Data Scientist (m/f/d) Process Excellence
Rittal
Metallindustrie und -verarbeitung
Herborn
- Art der Beschäftigung: Vollzeit
- 69.500 € – 95.000 € (von XING geschätzt)
- Home-Office
- Zu den Ersten gehören
Senior Data Scientist (m/f/d) Process Excellence
Über diesen Job
- NEW
Senior Data Scientist (m/f/d) Process Excellence
Rittal • Herborn
We are Rittal . Manufacturer of modular enclosure systems and digitalisation partner to industry. We help shape the future by fast-tracking automation and digitalisation. Part of the Friedhelm Loh Group. Family-owned business, global player, leading innovator and top employer.
Herborn
Hybrid (On Site / Home Office)
We are looking for a Senior Data Scientist Process Excellence who translates data-driven insights into measurable process improvements. With the help of Celonis, machine learning, and advanced analytics, you will identify optimization potential, develop intelligent models, and support their operational implementation. You will combine process understanding with data science methods and create transparency, automation, and sustainable performance improvements as part of the Transformation/Processes team at our headquarter in Herborn.
We are looking for a Senior Data Scientist Process Excellence who translates data-driven insights into measurable process improvements. With the help of Celonis, machine learning, and advanced analytics, you will identify optimization potential, develop intelligent models, and support their operational implementation. You will combine process understanding with data science methods and create transparency, automation, and sustainable performance improvements as part of the Transformation/Processes team at our headquarter in Herborn.
Tasks
- Use Celonis Process Mining for data-driven analysis of complex end-to-end processes (e.g., O2C, P2P, SCM, production) and identification of deviations, root causes, and patterns
- Development of analytical hypotheses in collaboration with specialist departments and derivation of measurable use cases with clear business impact
- Exploration of large amounts of data, feature engineering, and advanced analytics to identify inefficiencies, risks, and automation potential
- Design and implementation of data-driven analyses and apps (possibly involving machine learning algorithms and AI)
- Translation of analytical findings into concrete measures such as automation rules, next-best-action recommendations, and process redesign
- Implementation of Celonis automation technology for process optimization and increased compliance
- Creation of management dashboards and storylines that support data-driven decisions
- Coaching of departments in the use of advanced analytics, promotion of a data-driven process culture
Job profile
- Successfully completed degree in data science, computer science, mathematics, industrial engineering, or comparable field
- Several years of experience (approx. 4+ years) as a data scientist, advanced analyst, or in a comparable role with a focus on business processes and operational analytics
- Strong understanding of processes in at least one area such as supply chain, finance, procurement, customer service, or production
- Experience in interdisciplinary work with stakeholders, specialist departments, and IT
- Very good SQL skills and experience in handling large corporate data from ERP/CRM/SCM systems; ideally experience with Celonis PQL and process mining
- Very good communication skills in German and English
- Excellent analytical skills, good organization, and quick comprehension
- Willingness to travel (approx. 20%)