Data Scientist | IT Global Operations (m/f)
GS IT Global Operations Lisbon is an international near shore competence center, providing Siemens AG with innovative solutions and high-quality services across the IT value chain. We work in over 220 applications, systems and projects ranging from infrastructure services for IT platforms up to data analytics and cyber defense, achieving an unprecedentedly high level of customer satisfaction.
What are my responsibilities?
Perform strategic data analysis and research within SAP data structures to support business processes and strategy and discuss results with team leads and customers.
Process large amounts of data from multiple sources and extract relevant insights.
Build models and
What do I need to qualify for this job?
Degree in Mathematics, Physics, Statistics, Computer Science, Engineering, a similar quantitative field or equivalent practical experience.
Experience with statistical software and scripting languages (e.g. R, Python, SAS).
Proficiency in SQL.
Experience analyzing and modeling data sets.
Experience with statistical and machine learning methods.
Ability to communicate technical concepts into simple terms to present to non-technical audiences.
Effective written and verbal communication skills.
What else do I need to know?
In Siemens Portugal we offer the possibility to integrate a young, dynamic and very multicultural team and to grow within one of the most solid multinational companies operating in the market.
As a leading global engineering and technology services company, Siemens provides innovative solutions to help tackle the world’s major challenges in the areas of electrification, automation and digitalization. That’s why we are always looking for curious, open-minded people, people who dare to ask tough questions. Like every Siemens employee worldwide. Are you in?
If this offer meets your professional aspirations, please send your application in English
Job ID: 80383
Organisation: Global Services
Experience Level: Mid-level Professional
Job Type: Full-time