Senior Data Scientist (Remote)

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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.

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.

Join a global technology organisation that invests heavily in the expertise, passion, and long-term development of its people.

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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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

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