Data Scientist (m|f|d)

• Execute prompt engineering and grounding, construction of ML, data mining, and AI models for AI use cases (incl. model selections and fine-tuning as well as design testing and deploying)
• Develop efficient and accurate analytical models that mimic business decisions and incorporate models into analytical data products and tools
• Define data requirements for central IT platform in collaboration with data engineers and software engineers
• Collect, analyze, and interpret large datasets to inform the development of AI-powered agent solutions
• Ensure quality assurance and implement risk controls (maintaining data governance and associated risks)
• Work closely with business stakeholders to understand business needs and requirements, providing data-driven insights and recommendations to inform agent solution development
• Stay up-to-date with emerging trends, technologies, and methodologies in data management, AI, and ML, and apply this knowledge to continuously improve data enabler services and capabilities

• Master’s degree (or PhD) (e.g., in computer science, mathematics, physics, engineering, or a related field)
• Several years of experience with working with traditional AI or GenAI solutions
• 3+ years of working experience in data science (or in similar roles)
• Proficiency in defining post-processing guardrails, and building satellite ML models
• Knowledge of natural language processing, hyperparameter/LLM finetuning, and optimally reinforcement learning from human feedback (RLHF)
• Experience with data visualization tools and specialization in NLP and text, image, and video
• Strong programming skills in common programming languages (e.g., Java, C++, Python, Ruby, R)
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
• Business proficiency in English (C1) and German (C1) are required.

• Flexibility: Mobile work (option to work from home a few days a week), 30 days of vacation
• Asset Accumulation & Retirement Planning: Company pension system & employee savings plan
• Development: Intensive professional & personal development (internal & external offerings), LinkedIn Learning access
• Health: Comprehensive company doctor services, Urban Sports cooperation
• Family: pme family service, childcare allowance, care assistance, cooperation with daycare centers, flexible working hours
• Other: Daily free lunch in our cafeteria, Free hot drinks & water, "Deutschland Ticket Job" subsidy, Events, Underground parking garage with e-charging infrastructure & much more!

*Please note that this list is based on current collective agreements. These may change. The list is for information purposes only. We do not accept any liability for individual points.

Info-Broschüre. MEAG - Alle Assets. Ein Team

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