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Data scientist (m|f|d)

München
MEAG
Data Scientist
Inserat online seit: 20 Juni
Beschreibung

Your tasks
* 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.


MEAG stands not only for a partnership-based relationship with customers, but also for fair treatment of applicants and employees. Regardless of gender. So if we use the masculine form of personal designations, this is purely for the sake of readability. Applicants with disabilities will be given preferential consideration if they are otherwise essentially equally qualified. Your profile
* 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.

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