Data Engineer

Siemens Healthineers is a global leader in providing medical solutions that significantly enhance patient care and overall healthcare outcomes. We are actively seeking an exceptional and driven Data Scientist to join our dynamic XP team. As a Data Scientist, you will play a pivotal role in transforming complex healthcare data into actionable insights and advanced models that power our platform and integrated digital solutions.

You’re a passionate Data Scientist with a proven track record in data analysis, machine learning, and statistical modeling, eager to contribute to groundbreaking, data-driven initiatives that directly impact patient care and accelerate innovation in the medical field.

In this role, you are responsible to

• Data Preparation & Processing: Identify, collect, clean, and preprocess large datasets from various sources. Apply statistical analysis, machine learning algorithms, and data mining techniques to extract meaningful insights.
• Prototype & Tool Development: Develop, test, and deploy quick proof-of-concept models and data products to validate potential solutions.
• Communication & Visualization: Effectively communicate complex technical concepts and findings to non-technical stakeholders through clear presentations and compelling data visualizations.
• Cross-functional Collaboration: Work closely with cross-functional teams, including product, engineering, quality and service, to ensure data solutions are aligned with business goals.
• Continuous Learning & Improvement: Engage in continuous upskilling in Python, SQL, statistical analysis, and fundamental machine‑learning concepts.
  
  

• Bachelor’s degree or Master’s in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
• Proficiency in programming languages such as Python (with libraries like pandas, scikit-learn, TensorFlow).
• Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Experience with data visualization tools (e.g., Power BI, Power Apps, Matplotlib, etc.)
• Solid understanding of SQL and experience working with databases
• Strong problem‑solving mindset and ability to work independently on well-defined tasks.
• Clear communication skills for explaining basic analytical findings.
  
  

• Exposure to XP systems or similar medical systems
• Familiarity with cloud platforms (e.g., AWS, Azure).
• Experience in developing production-level machine learning models.