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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # ECC - Data Scientist/Data Analytics & AI - **Company:** Siemens Healthineers - **Location:** Erlangen, Germany (Remote available) - **Salary:** €43,200.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Data Infrastructure, Data Visualization, Python (Programming Language), Power BI, SAP NetWeaver Data Management, SAP Sales and Distribution, SQL Databases, Data Streaming, Qliksense, Data Ingestion, Snowflake, Generative AI, Information Technology, Data Analytics, Low-code, Data Pipelines - **Published:** June 3, 2026 - **Apply:** https://de.indeed.com/viewjob?jk=e0cbca23caa23aa5 ## About the Role Do you have experience in SQL?, * Degree in Data Science, Computer Science, Business Informatics, or a related field * Proven experience as a Data Analyst, Data Scientist, or in a similar analytical/technical role with strong knowledge of Export Control, Customs, or Trade Compliance processes and regulations * Solid programming skills (e.g., Python, SQL) for data analysis, automation, and prototyping as well as experience with machine learning and AI methods (e.g. NLP, generative AI), hands-on experience with data visualization and BI tools (e.g., Power BI, Qlik Sense), * Experience working with SAP data, ideally in SD (Sales & Distribution) and/or MM (Materials Management) modules, experience with Snowflake as a central data platform is a strong plus * Strong problem-solving skills with the ability to translate business problems into data-driven solutions and excellent communication skills and confidence working in international, cross-functional environments * High level of curiosity, self-motivation, and ability to independently explore and develop new ideas - fluent in English; German is a plus ## Description * AI Use Case Identification & Scoping: Collaborate closely with international Export Control & Customs (ECC) colleagues to identify optimization opportunities through AI and machine learning (e.g., risk detection, classification, compliance automation). Translate business needs into clear user stories, acceptance criteria, and measurable success metrics. * Hands-on Development & Implementation: Use tools such as Python, SQL, and low-code platforms to independently develop prototypes, automation workflows, data pipelines and answer ad-hoc requests. Validate ideas quickly and deliver practical solutions to real-world compliance and trade-related challenges. * Data Ingestion & Integration: Design and implement data ingestion processes by connecting and integrating multiple data sources. Ensure reliable data pipelines and efficient data flow for analytics and AI use cases. * Advanced Analytics & Intelligent Reporting: Go beyond traditional reporting by building advanced analytics solutions and intelligent dashboards (e.g., Power BI, Qlik Sense). Leverage statistical methods and generative AI to uncover insights from trade, customs, and compliance data, enabling data-driven decision-making. * AI Lifecycle Participation & Ownership: Contribute to and drive the full lifecycle of AI solutions-from ideation and feasibility assessment to self-development, deployment, monitoring, iteration, and scaling. Maintain a strong focus on business impact, usability, and real-world application. * Stakeholder Management & Communication: Act as a key interface between ECC colleagues, IT, and data teams. Clearly communicate the value, limitations, and trade-offs of AI-driven solutions to both technical and non-technical stakeholders, ensuring alignment and adoption. ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Reimagining app development with Low-code and AI](https://www.wearedevelopers.com/videos/1651-reimagining-app-development-with-low-code-and-ai) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) ## Related Articles - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Best Companies to Work For in Germany: Top 25 Companies in 2023 ](https://www.wearedevelopers.com/magazine/33-best-companies-to-work-for-in-germany-top-25-companies-in-2023) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [IT Salaries in Germany](https://www.wearedevelopers.com/magazine/287-it-salaries-in-germany) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)