Das ist der Job
Design, build, and optimize complex algorithms and AI/ML models with a focus on NLP and LLM-based solutions.
Darum lohnt es sich
Are you ready to shape cutting-edge AI solutions in a highly innovative, international environment?
We are looking for a German-speaking Senior Data Scientist who can effectively bridge the gap between business stakeholders and technology teams while contributing to the end-to-end development and implementation of cutting-edge AI products and solutions.
Act as a key expert and trusted advisor for internal teams, sharing knowledge and supporting collaboration. Join a global technology organisation that invests heavily in the expertise, passion, and long-term development of its people.
Your Responsibilities Lead and execute innovative data science projects, from concept to evaluation and ensuring alignment with business objectives. Stay up to date with the latest research, trends, and emerging technologies in AI. Define and recommend best practices to increase efficiency and scalability across data science initiatives.
Represent the company at relevant professional events and conferences. Your Profile Degree in Computer Science, Mathematics, Statistics, or a related field. 5+ years of experience in Data Science with a strong focus on LLMs and NLP . Expert‑level hands‑on skills in Python , relevant libraries (Pandas, NumPy, SciPy), and SQL .
Practical experience with frameworks such as Hugging Face , LangChain , and scikit‑learn . Solid understanding of MLOps , deployment workflows (Docker, Kubernetes, CI/CD), and cloud platforms (e.g., Azure). Strong analytical mindset, curiosity for new topics, and a proactive, solution‑oriented working style.
Excellent communication skills, with the confidence to engage with senior stakeholders. Referrals increase your chances of interviewing at MAM Gruppe by 2x Get notified about new Senior Data Scientist jobs in Germany .
Saterland, Lower Saxony, Germany 3 weeks ago Seniority level: Mid‑Senior level Employment type: Full‑time Job function: Information Technology Industries: Automation Machinery Manufacturing and Transportation, Logistics, Supply Chain and Storage #J-18808-Ljbffr
