lavori da Part Time in località Italia

Data Scientist - Advanced Analytics & AI

Location : United Arab Emirates, Abu Dhabi

Company : Siemens Energy LLC

Organization : EVP Global Functions

Business Unit : Digital Core

Full / Part time : Full-time

Experience Level : Experienced Professional

As a member of our global team for data & artificial intelligence, you will work on challenging projects from all areas of the energy industry. By combining strategic and business insights with the latest data science techniques, you will help our business drive maximum value from data and develop analytics solutions that provide strategic advantages in day-to-day operations.

Passionate about the environment and climate change? Ready to be part of the future of the energy transition? The Siemens Energy Data & AI team plays a significant role in driving energy transformation.

We are looking for innovative, enthusiastic, and versatile data, digital, and AI professionals to drive us forward on this exciting venture.

• More than 3 years of work experience, ideally in the energy industry
• University degree in Computer Science, Mathematics, Physics, Engineering, or a related field
• Excellent analytical skills and profound expertise in data science, machine learning, and artificial intelligence methods
• Programming skills in Python and/or R, with good knowledge in statistical modeling, deployment, and cloud computing
• Strong customer focus and excellent interpersonal skills; open-minded and willing to learn
• Ability to effectively collaborate in multidisciplinary, multinational, global teams
• Fluent in written and spoken English, with excellent communication and presentation skills
• Enthusiastic about data and analytics, driving the use of data across all parts of a business and ecosystem

1. Develop advanced analytics solutions leveraging artificial intelligence and machine learning techniques for application along the value chain
2. Work in cross-organizational, multi-disciplinary teams supporting the application and implementation of new data science and AI/ML concepts
3. Drive the roll-out of AI/ML across the company through knowledge sharing, mentoring, and supporting technical training
4. Stay up to date on the latest developments in data science and AI/ML principles and theories to help the business make data-driven decisions
5. Collaborate in a partner ecosystem across industry and academia to drive research and leverage know-how in this field
6. Document developed methods and processes, and present results to stakeholders across the organization regularly

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