Döhler
Data Scientist - AI and Machine Learning Specialist(m/w/x)
Full-timeOn-siteExperienced
Darmstadt
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DÖDöhler
Data Scientist - SAP AI & Application Integration(m/w/x)
Darmstadt
Full-timeOn-site
AI/ML
Data Science
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- LLMs
- GenAI
- SAP BTP
- SAP AI Core
- AI Launchpad
- HANA Cloud
- CAP
- Azure
- MLOps
- CI/CD
Benefits
Informal Culture
- Friendly and informal atmosphere
- Family-owned company
- Flat hierarchies
- Short communication channels
- Helpful colleagues
Diverse Work
- Autonomous and varied responsibilities
Modern Equipment
- State-of-the-art technologies
Bonuses & Incentives
- Anniversary payments
- Special payments
- Employee referral bonuses
Team Events
- Christmas parties
- Company events
- Onboarding event
Competitive Pay
- Financial benefits
Corporate Discounts
- IT leasing discounts
- Mobile phone contract discounts
- Shopping and travel discounts
- Reduced-price sports offerings
Learning & Development
- Individual training
- Internal and external training
Free or Subsidized Food
- On-site cafeteria
Snacks & Drinks
- Complimentary drinks
Public Transport Subsidies
- Subsidized Germany ticket
Other Benefits
- JobRad
- Accident insurance
Retirement Plans
- Company pension plans
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Döhler and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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DÖDöhler
Data Scientist - SAP AI & Application Integration(m/w/x)
Darmstadt
Full-timeOn-site
AI/ML
Data Science
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- LLMs
- GenAI
- SAP BTP
- SAP AI Core
- AI Launchpad
- HANA Cloud
- CAP
- Azure
- MLOps
- CI/CD
Benefits
Informal Culture
- Friendly and informal atmosphere
- Family-owned company
- Flat hierarchies
- Short communication channels
- Helpful colleagues
Diverse Work
- Autonomous and varied responsibilities
Modern Equipment
- State-of-the-art technologies
Bonuses & Incentives
- Anniversary payments
- Special payments
- Employee referral bonuses
Team Events
- Christmas parties
- Company events
- Onboarding event
Competitive Pay
- Financial benefits
Corporate Discounts
- IT leasing discounts
- Mobile phone contract discounts
- Shopping and travel discounts
- Reduced-price sports offerings
Learning & Development
- Individual training
- Internal and external training
Free or Subsidized Food
- On-site cafeteria
Snacks & Drinks
- Complimentary drinks
Public Transport Subsidies
- Subsidized Germany ticket
Other Benefits
- JobRad
- Accident insurance
Retirement Plans
- Company pension plans
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Döhler and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Döhler
Industry
Food
Description
The company is a leading global producer of natural ingredients and solutions for the food, beverage, lifestyle and nutrition industries.
Not a perfect match?
- Döhler
Data Scientist - AI and Machine Learning Specialist(m/w/x)
Full-timeOn-siteExperiencedDarmstadt - SurTec Deutschland GmbH
Master’s thesis on AI and process optimization(m/w/x)
Full-timeInternshipOn-siteZwingenberg - vertical cloud solution GmbH
Senior AI Engineer(m/w/x)
Full-timeOn-siteSeniorDarmstadt - CWS Workwear International GmbH
Teamlead AI(m/w/x)
Full-timeOn-siteManagementDreieich - Döhler
Teamlead Digital Supply Chain Planning(m/w/x)
Full-timeOn-siteManagementDarmstadt