Döhler
Data Scientist - AI and Machine Learning Specialist(m/w/x)
Vollzeitnur vor OrtBerufserfahren
Darmstadt
Neuer Job?Nejo!
Die KI-Suchmaschine für Jobs
DÖDöhler
Data Scientist - SAP AI & Application Integration(m/w/x)
Darmstadt
VollzeitVor Ort
AI/ML
Data Science
Nejo KI-Zusammenfassung
Building AI services on SAP BTP for operational data at global natural ingredient producer, applying mathematical optimization. Strong Python, data/ML libraries, and applied ML skills, with cloud environment experience, required. Family-owned company environment.
Anforderungen
- Degree in Data Science, Computer Science, Engineering, Statistics or similar
- Interest in enterprise applications and SAP ecosystems (strong plus)
- Strong skills in Python, data/ML libraries, and applied ML
- Experience with LLMs, foundation models and GenAI (advantage)
- Experience with cloud environments, preferably SAP BTP and Azure
- Understanding of basic MLOps concepts and CI/CD for ML services
- Ability to translate SAP business requirements into ML solutions
- Clear communication with non-technical stakeholders and SAP experts
- Curiosity, collaboration, and structured work style
- Comfort working in international, interdisciplinary teams
Aufgaben
- Identify data-driven opportunities with process owners
- Translate operational data into predictive models
- Apply feature engineering and mathematical optimization
- Deliver actionable forecasts and risk scores
- Design AI services on SAP BTP
- Implement GenAI and LLM-based assistants
- Automate document processing via SAP applications
- Develop and secure APIs for ML models
- Collaborate with architecture teams on AI integration
- Maintain reproducible data and ML pipelines
- Ensure data quality and versioning traceability
- Monitor and improve production model performance
- Support SAP transformation and innovation programs
- Coach users and developers on AI literacy
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- LLMs
- GenAI
- SAP BTP
- SAP AI Core
- AI Launchpad
- HANA Cloud
- CAP
- Azure
- MLOps
- CI/CD
Benefits
Lockere Unternehmenskultur
- Friendly and informal atmosphere
- Family-owned company
- Flat hierarchies
- Short communication channels
- Helpful colleagues
Abwechslungsreiche Aufgaben
- Autonomous and varied responsibilities
Moderne Technikausstattung
- State-of-the-art technologies
Boni & Prämien
- Anniversary payments
- Special payments
- Employee referral bonuses
Team Events & Ausflüge
- Christmas parties
- Company events
- Onboarding event
Attraktive Vergütung
- Financial benefits
Mitarbeiterrabatte
- IT leasing discounts
- Mobile phone contract discounts
- Shopping and travel discounts
- Reduced-price sports offerings
Weiterbildungsangebote
- Individual training
- Internal and external training
Gratis oder Vergünstigte Mahlzeiten
- On-site cafeteria
Snacks & Getränke
- Complimentary drinks
Öffi Tickets
- Subsidized Germany ticket
Sonstige Vorteile
- JobRad
- Accident insurance
Betriebliche Altersvorsorge
- Company pension plans
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Döhler erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Noch nicht perfekt?
- SurTec Deutschland GmbH
Master’s thesis on AI and process optimization(m/w/x)
VollzeitPraktikumnur vor OrtZwingenberg - vertical cloud solution GmbH
Senior AI Engineer(m/w/x)
Vollzeitnur vor OrtSeniorDarmstadt - CWS Workwear International GmbH
Teamlead AI(m/w/x)
Vollzeitnur vor OrtManagementDreieich - Döhler
Inhouse Consultant IT Supply Chain Planning(m/w/x)
Vollzeitnur vor OrtManagementDarmstadt
DÖDöhler
Data Scientist - SAP AI & Application Integration(m/w/x)
Darmstadt
VollzeitVor Ort
AI/ML
Data Science
Nejo KI-Zusammenfassung
Building AI services on SAP BTP for operational data at global natural ingredient producer, applying mathematical optimization. Strong Python, data/ML libraries, and applied ML skills, with cloud environment experience, required. Family-owned company environment.
Anforderungen
- Degree in Data Science, Computer Science, Engineering, Statistics or similar
- Interest in enterprise applications and SAP ecosystems (strong plus)
- Strong skills in Python, data/ML libraries, and applied ML
- Experience with LLMs, foundation models and GenAI (advantage)
- Experience with cloud environments, preferably SAP BTP and Azure
- Understanding of basic MLOps concepts and CI/CD for ML services
- Ability to translate SAP business requirements into ML solutions
- Clear communication with non-technical stakeholders and SAP experts
- Curiosity, collaboration, and structured work style
- Comfort working in international, interdisciplinary teams
Aufgaben
- Identify data-driven opportunities with process owners
- Translate operational data into predictive models
- Apply feature engineering and mathematical optimization
- Deliver actionable forecasts and risk scores
- Design AI services on SAP BTP
- Implement GenAI and LLM-based assistants
- Automate document processing via SAP applications
- Develop and secure APIs for ML models
- Collaborate with architecture teams on AI integration
- Maintain reproducible data and ML pipelines
- Ensure data quality and versioning traceability
- Monitor and improve production model performance
- Support SAP transformation and innovation programs
- Coach users and developers on AI literacy
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- LLMs
- GenAI
- SAP BTP
- SAP AI Core
- AI Launchpad
- HANA Cloud
- CAP
- Azure
- MLOps
- CI/CD
Benefits
Lockere Unternehmenskultur
- Friendly and informal atmosphere
- Family-owned company
- Flat hierarchies
- Short communication channels
- Helpful colleagues
Abwechslungsreiche Aufgaben
- Autonomous and varied responsibilities
Moderne Technikausstattung
- State-of-the-art technologies
Boni & Prämien
- Anniversary payments
- Special payments
- Employee referral bonuses
Team Events & Ausflüge
- Christmas parties
- Company events
- Onboarding event
Attraktive Vergütung
- Financial benefits
Mitarbeiterrabatte
- IT leasing discounts
- Mobile phone contract discounts
- Shopping and travel discounts
- Reduced-price sports offerings
Weiterbildungsangebote
- Individual training
- Internal and external training
Gratis oder Vergünstigte Mahlzeiten
- On-site cafeteria
Snacks & Getränke
- Complimentary drinks
Öffi Tickets
- Subsidized Germany ticket
Sonstige Vorteile
- JobRad
- Accident insurance
Betriebliche Altersvorsorge
- Company pension plans
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Döhler erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Über das Unternehmen
Döhler
Branche
Food
Beschreibung
The company is a leading global producer of natural ingredients and solutions for the food, beverage, lifestyle and nutrition industries.
Noch nicht perfekt?
- Döhler
Data Scientist - AI and Machine Learning Specialist(m/w/x)
Vollzeitnur vor OrtBerufserfahrenDarmstadt - SurTec Deutschland GmbH
Master’s thesis on AI and process optimization(m/w/x)
VollzeitPraktikumnur vor OrtZwingenberg - vertical cloud solution GmbH
Senior AI Engineer(m/w/x)
Vollzeitnur vor OrtSeniorDarmstadt - CWS Workwear International GmbH
Teamlead AI(m/w/x)
Vollzeitnur vor OrtManagementDreieich - Döhler
Inhouse Consultant IT Supply Chain Planning(m/w/x)
Vollzeitnur vor OrtManagementDarmstadt