Data Scientist

Seeking an experienced Data Scientist to join a project within the automotive industry, focusing on preventive anomaly exploration and developing data-driven solutions for quality improvement in a distributed data environment.

• Support end-to-end QDCC data products, including data pipelines, analytics, and reporting
• Analyze quality, process, and product data with a focus on identifying anomalies proactively
• Develop analytical models, KPIs, and data-driven insights for quality improvement
• Translate analytical findings into rule-based monitoring concepts
• Contribute to the implementation of functional and non-functional data requirements
• Prepare management-ready visualizations and reports
• Ensure code, data product documentation, compliance, and IT security standards (aligned with company’s standards)
• Actively participate in SCRUM / SAFe ceremonies
• Collaborate closely with Product Owners, Data Engineers, and business stakeholders (Quality, Development, Operations)

• Experience in data analytics, data science, or related roles
• Strong expertise in Python and SQL querying
• Hands-on experience with distributed systems and modern data architectures
• Solid knowledge of Apache Spark (batch processing; streaming is a plus)
• Experience in data modeling and performance optimization, (Apache Iceberg is a plus)
• Familiarity with Cloudera-based data platforms and tools like GitLab, Confluence, Jira
• Proven ability to deliver clear, executive-level visualizations and reports
• Very good English skills, knowledge of German will be a plus

• Remote working model with possible business trip to client’s office in Germany – 1x per quarter
• Collaboration with senior engineers and cross-functional AI teams
• Dynamic and innovation-driven engineering environment
• Job agreement based on b2b
• Private medical care with dental care (covering 70% of costs)
• Multisport card (also for an accompanying person)
• Life insurance