Senior Data Scientist (m/f/o)

Overview

Job ID: 1482
We’re building out our data and machine learning infrastructure and forming a new data platform team. This role is about driving innovation in data science and machine learning for the business at Thieme, collaborating with cross-functional teams, and leading the development of advanced analytics solutions that have a business impact.

Thieme is a leading supplier of information and services contributing to the improvement of healthcare and health. Employing more than 1,000 staff, the family-owned company develops products and services in digital and other media for the medical and chemistry sectors. Operating internationally with offices in 11 cities worldwide, the Thieme Group works closely with a strong network of experts and partners. The products and services are based on the high-quality content of Thieme’s 200 journals and 4,400 books. With solutions for professionals, Thieme supports relevant information processes in research, education, and patient care. Medical students, physicians, nurses, allied health specialists, hospitals, health insurance companies and others interested in health and healthcare are at the focus of Thiemes activities. The mission of the Thieme Group is to provide these markets with precisely the information, services, and products they need in their specific work situation and career.

Department: IT
Start: at the earliest possible date
Contract duration: unlimited
Working hours: full-time (40h/week)Your new passion
• Lead complex data science projects: Own the end-to-end lifecycle of data science projects, from problem definition to model/solution deployment and monitoring.
• Develop advanced machine learning models: Build and deploy machine learning models, leveraging techniques like deep learning, natural language processing, and computer vision.
• Collaborate with stakeholders: Work closely with business stakeholders to understand their needs and translate them into actionable data science solutions.
• Mentor and guide team members: Share your expertise and knowledge with junior data scientists and data engineers, fostering a culture of innovation and continuous learning.
• Contribute to data platform development: Collaborate with data engineers to design and implement robust and scalable data pipelines and infrastructure.
• Drive innovation: Stay up to date with the latest trends in data science and machine learning and identify opportunities to apply these to solve real-world problems.

You inspire us with this
• Strong technical skills: Proficiency in Python, SQL, and machine learning frameworks like TensorFlow, PyTorch, scikit-learn or spacy . Your comfortable navigate modern cloud data science environments and pipelines on AWS, Google or Azure.
• You have an extensive track record of addressing large-scale real-world problems using machine learning throughout the entire product cycle, encompassing problem analysis, data processing, literature review, production deployment, monitoring, and maintenance.
• You have experience with NLP, ideally with a focus on latest developments around LLMs and related technologies like RAG, langchain and vector databases.
• Ideally you have prior domain experience and an understanding of areas such as healthcare or publishing.
• You bring a clear, audience-sensitive style to your verbal and written communication in German and English. Note that your stakeholders will be German, so a B2/C1 level is required.
• You have built and maintained at least one data/ML platform over a long period of time. You’re comfortable with traditional data warehouse architecture, concepts like data meshes and have a well rounded understanding of BI related data challenges.
• You bring a clear, audience-sensitive style to your verbal and written communication in German and English. Note that your stakeholders maybe German, so a B2 level is required.

What we offer you
• We provide a collaborative and empowering work environment
• We value winning ideas and a proactive attitude
• You will work in a reputable and employee-friendly family business that encourages open communication
• We operate a hybrid work setup at our Stuttgart office; we are open to other arrangements as well

Company:

Thieme Group

Qualifications:

Language requirements:

Specific requirements:

Educational level:

Level of experience (years):

Senior (5+ years of experience)

Tagged as: Data Warehouse, Germany, Industry, Machine Learning, Natural Language Processing, NLP