Data Scientist

• End-to-End Data Management: Independently manage the entire data process, from identifying and sourcing relevant data across internal and external systems to data engineering and analysis, and deliver ready-to-use results to internal and external customers.
• Data Engineering & Data Products: Support and guide engineers in designing, developing and operating scalable data pipelines, data models and data products on Microsoft Azure and Databricks, while ensuring high data quality and comprehensive documentation.
• Advanced Analytics: Independently process, prepare and analyze structured, semi-structured and unstructured data, such as text, documents and files, and apply statistical and AI/ML methods to generate relevant insights for tactical and strategic decision-making on a global scale.
• Bridge Between Business & Technology: Translate business requirements into technical solutions such as code, architectures and data pipelines, and communicate technical concepts, constraints and results to non-technical stakeholders in a clear and actionable way.
• Independent Delivery & Customer Adoption: Scope and prioritize your tasks independently, deliver results with minimal supervision and track the usage and adoption of developed solutions, for example through agents or Tableau.
• Global Collaboration: Work closely with IT, Global Sales, Marketing and our international subsidiaries to ensure that data products and analyses meet the needs of internal and external customers., * Flexible working hours & mobile working: In many areas, working hours and location can be arranged as required
• 30 vacation days and various special payments
• Further training opportunities: Open in-house seminar program, extensive e-learning offering, professional development courses and much more
• Corporate benefits and bicycle leasing
• Subsidy for private pension plan and company health management
• Various childcare options - at the headquarters in Tuttlingen
• Health, sports, cultural and leisure activities - offers vary depending on location

• Degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics or a comparable field, ideally with an advanced degree
• Extensive experience as a Data Scientist, Data Engineer or Data Analyst, including independently delivering end-to-end data projects and data products
• Extensive knowledge of Python and SQL, Microsoft Azure and Databricks, particularly Spark and Delta Lake
• Extensive knowledge of end-to-end data engineering, particularly data sourcing, ETL/ELT, data modeling, data quality and data architecture
• Comprehensive experience in processing and analyzing structured, semi-structured and unstructured data, as well as working with scalable, high-performance computing environments
• Applied knowledge of AI/ML, ideally complemented by experience with NLP, generative AI and deploying AI/ML models into production
• Experience in creating customer-facing dashboards with Tableau, Knowledge of SAP HANA and the medical device market is an advantage
• High level of ownership and self-organization, combined with strong project management skills
• Ability to bridge technical and business requirements and communicate complex topics clearly to non-technical audiences
• Resilience and a strong commitment to continuous learning and development in Data & AI
• Strategic thinking and a consulting mindset are an advantage

Stronger together

At KARL STORZ, we believe in not just creating jobs but building careers. As a family-run company, we understand the value of long-term relationships and actively work on promoting them. When YOU grow, we grow.