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Are you ready to shape cutting-edge AI solutions in a highly innovative, international environment? Join a global technology organisation that invests heavily in the expertise, passion, and long-term development of its people.

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.

Your Responsibilities

• Lead and execute innovative data science projects, from concept to evaluation and ensuring alignment with business objectives.
• Design, build, and optimize complex algorithms and AI/ML models with a focus on NLP and LLM-based solutions.
• 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.
• Act as a key expert and trusted advisor for internal teams, sharing knowledge and supporting collaboration.
• 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.

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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