Job Function: Marketing
Location:
Tuttlingen, BW, DE, 78532 Work Location (for field-based positions): Work Flexibility: Hybrid Job ID: 5988
Your Mission
- 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.
Your Talents
- 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
Your Benefits
- 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
HR Contact
Thomas Hocken | Recruiter Talent Acquisition Thomas.Hocken@karlstorz.com 5988
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