AI Data Scientist (m/f/d)

Das ist der Job

The role focuses on model and prompt development, data pipelines, and ensuring reliable operations of AI systems.

Darum lohnt es sich

Close collaboration with cross-functional teams ensures business requirements are translated into data-driven solutions. 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. Provide technical input and collaborate with project teams.

Help continuously improve development processes within the AI development team. Team-orientation and openness to collaborative with a diverse team. Flexible working hours, mobile working and modern workplace equipment, plus 30 days of vacation. Discounted online shopping through our Corporate Benefits Portal.

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. #J-18808-Ljbffr 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 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.

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. 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. Ability to explain technical concepts and findings to both technical and non-technical stakeholders. 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.

Hybrid work schedule with possibility to work remotely. Subsidy for the Germany Ticket, and e‑charging stations in the free company parking.