BayWa r.e. Jobportal
Jopestraße 4, 72072 Tübingen, Germany
Work experience
IT
Fulltime
BayWa r.e. is the home for change makers. We r.e.think energy – how it is produced, stored and can be best used to enable the global renewable energy transition that is essential to the future of our planet. At BayWa r.e. we effect change globally. With locations in numerous countries, thousands of colleagues are already working across the world, collaborating with local businesses to proactively shape the future of the energy sector.
With a network of over 20 locations worldwide, more than 1,200 employees and over 30 years of experience, the Business Entity Solar Trade within BayWa r.e. group is one of the world’s leading distributors of photovoltaic components. Throughout the B2B sector we supply and support our cooperation partners and installers with innovative photovoltaic products. We also offer trainings and organize roadshows to keep our customers up to date.
About the role: The AI Data Scientist is responsible for development, implementation, and operation of AI and ML solutions within the AI Sales Assistant ecosystem. The role focuses on model and prompt development, data pipelines, and ensuring reliable operations of AI systems. Close collaboration with cross-functional teams ensures business requirements are translated into data-driven solutions. The role contributes to building data-driven products by preparing data, training models, and ensuring deployment into production systems, while continuously improving model performance. Your role will be an integral part of the central AI Innovation Hub being established at Solar Trade Holding. Together in a team of developers, data scientists, project managers, and the Head of the AI Innovation Hub, you will drive AI innovation at Solar Trade.
What You Will Do
Prepare, clean, and transform data for model training
Ensure data quality, consistency and availability
Integrate data from CRM, ERP, and other business systems
Build and maintain data pipelines and feature engineering workflows
Perform feature engineering and model optimization
Support deployment and integration of models into systems
Monitor model performance and implement improvements
Design and optimize prompts and LLM-based solutions
Assist in designing internal compliance frameworks, ethical standards and operational standards in compliance with applicable laws, rules and regulations (e.g. EU AI Act, GDPR)
Collaborate with stakeholders to translate requirements into models and insights
Provide technical input and collaborate with project teams
Help continuously improve development processes within the AI development team
What You Bring
Bachelor’s or Master’s in Computer Science, Data Science, or similar
Proven experience in Data Science / Data Engineering
Advanced experience in statistical analysis, exploratory data analysis (EDA) and hypothesis-driven modeling
Strong proficiency in Python / R for data science (e.g. pandas, numpy, scikit‑learn) and AI-supported development
Expertise in feature engineering, data preparation and data quality assessment
Ability to select the right approach (statistical models vs. AI models) based on problem and data maturity
Understanding of LLMs and other AI approaches from an analytical and evaluation perspective (incl. limitations, bias, quality) business‑relevant performance metrics
Strong analytical storytelling skills to translate insights into business decisions
Experience with data processing and pipelines
Basic understanding of cloud & AI Ops concepts to collaborate effectively with AI engineers
Strong problem-solving skills with an analytical mindset
Team-orientation and openness to collaborative with a diverse team
Ability to explain technical concepts and findings to both technical and non-technical stakeholders
C1-level English and minimum B2-level German, both written and spoken
Experience in B2B or sales analytics is considered an advantage
Knowledge of renewable energy or technology sector is considered an advantage
What We Are Ready To Offer You
We care about you: if there are any problems, we will do everything we can to support you - no one is left out in the cold with us
Further training opportunities via internal and external training courses
Flexible working hours, mobile working and modern workplace equipment, plus 30 days of vacation
Discounted online shopping through our Corporate Benefits Portal
Hybrid work schedule with possibility to work remotely
Subsidy for the Germany Ticket, and e-charging stations in the free company parking
Last but not least: you are driving forward the energy transition as part of a great team and ensuring that our future becomes a little greener
Do you want to change the future with us? Great! Then apply now.
Is This Role The Right Fit For You?
We look forward to receiving your application!
Please contact us if you have any questions about the job advertisement by email
[email protected].
#BWreSOLARTRADEGLOBAL
Judit Sandor
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