Job Description

Reference ID: 42710

Are you interested in high-quality, natural, and tasty nutrition?

We are! It’s our ambition to shape the future of nutrition.

Döhler is a leading global producer of natural ingredients and solutions for the food, beverage, lifestyle and nutrition industries. We use innovative technology to process plant-based raw materials and enrich products such as lifestyle drinks, cereals, dairy, and confectionery goods for almost every well-known brand. Over 10.000 dedicated employees in more than 70 countries share one common goal - to ensure that millions of people around the world enjoy the products created by us.

We strive to inspire and empower our employees in everything we do, and we invite you to join our team – together WE BRING IDEAS TO LIFE.

As a Data Scientist focusing on SAP AI at Döhler, you use AI and Machine Learning to enhance and automate business processes across our SAP landscape. Embedded in cross-functional teams (e.g. Finance, Supply Chain, Production, Sales), you turn operational and process data into insights and intelligent services, and integrate AI capabilities directly into SAP application workstreams. You build and operationalize ML and GenAI use cases on SAP BTP (including SAP AI Core and related services) so that our SAP solutions become smarter, more efficient and easier to use.

Your Role

• Collaborate with Business Process Owners and Key Users across SAP modules to identify data-driven opportunities and translate operational data into models for predictive, optimization, and anomaly detection using Python and ML frameworks
• Apply advanced feature engineering, interpretable modeling, and mathematical optimization to deliver actionable insights, forecasts, risk scores, and recommendations for SAP-relevant business processes
• Design and implement AI services on SAP BTP, including GenAI- and LLM-based assistants for contextual co-pilots, knowledge support, and automated document processing, integrated into SAP applications via APIs, events, and extensions
• Develop, maintain, and secure APIs and lightweight applications to expose ML models to SAP workflows, collaborating with SAP development and architecture teams to ensure scalable, compliant, and robust AI integration
• Design, implement, and maintain reproducible data and ML pipelines on SAP BTP and cloud platforms, ensuring seamless data flow, quality checks, versioning, logging, and traceability across SAP and AI components
• Monitor model performance in production SAP workflows, driving continuous improvement, retraining, and the adoption of innovative AI/ML methods for use cases like forecasting, predictive quality, automation, and co-pilot assistants
• Support SAP transformation initiatives and innovation programs by enabling AI literacy, coaching key users and developers, and promoting effective use and interpretation of AI solutions within SAP environments

Your Profile

• Degree in Data Science, Computer Science, Engineering, Statistics or similar; interest in enterprise applications and SAP ecosystems is a strong plus
• Strong skills in Python, data/ML libraries, and applied ML; experience with LLMs / foundation models and GenAI is an advantage
• Experience with cloud environments, preferably SAP BTP (e.g. SAP AI Core, AI Launchpad, HANA Cloud, CAP) and Azure; understanding of basic MLOps concepts and CI/CD for ML services
• Ability to translate SAP business requirements into ML solutions and communicate clearly with non-technical stakeholders and SAP experts
• Curious, collaborative, structured, and comfortable working in international, interdisciplinary teams spanning IT, Data & Analytics, and business functions

Your Benefits

• Culture: Friendly and informal atmosphere, family-owned company, flat hierarchies, short communication channels, and helpful colleagues
• Impact: You are an integral part of our business success and make an important contribution to the future of nutrition
• Empowerment: You can fully unleash your potential and have the opportunity to take on responsibilities
• Digitalization: We maintain excellent partnerships with market-leading innovators, allowing you to access and work with state-of-the-art technologies
• Anniversary and special payments
• Employee referral bonuses
• Additional benefits: Christmas parties, events, financial benefits, and online shop discounts (e.g., IT leasing, mobile phone contracts, shopping, and travel discounts, etc.)
• Welcome@Döhler: Onboarding event for all new colleagues, as well as several weeks of individual training
• Döhler Academy: You have the opportunity to continuously develop your education further through internal and external training programs
• Food is taken care of: On-site cafeteria with regional and varied cuisine and complimentary drinks
• Stay fit: Take advantage of local sports offerings at reduced prices
• Mobility: Subsidized Germany ticket or JobRad
• Insurance benefits such as company pension plans and accident insurance
• Global growth trajectory: Challenging and internationally oriented work at our headquarters in Darmstadt
• Attractive location in Darmstadt: Easily accessible by train, bus, on foot, or by car (free parking)

Equal opportunities for all

We welcome applicants, who are just as diverse as we are - regardless of age, ancestry, disability, ethnic origin, gender, nationality, religion, sexual orientation, social background or any other characteristic protected by applicable laws, regulations and ordinances.

Become a part of our team and apply online through our career portal to the attention of Naima Mohamad. Please note that we are unable to consider or return application documents sent by mail.