Data Scientist

18 hours ago


Dubai, United Arab Emirates Siemens Energy Full time

As a member of our global team for enterprise data & advanced analytics, you work on challenging projects from all areas of the energy industry. Through combining strategic and business insights with the latest data science techniques, you help our business to drive maximum value from data and develop analytics solutions, that provide strategic advantages in their 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 Analytics & AI team plays a significant role in driving the energy transformation.

Honestly, we don’t have all the answers. Honestly, given the scale of the challenge we need many types of perspectives to help reimagine the future. And honestly, we can’t do it alone.

Our team is looking for innovative, enthusiastic, and versatile data, digital, and AI professionals that will drive us forward on this exciting venture.

**LET’S TALK ABOUT YOU**

**Your profile**
- Degree in one of the following fields: Computer Science, Mathematics, Physics, Engineering, or related field. A doctoral degree is a plus
- Hands-on experience in data science, machine learning, and AI, including experience with relevant libraries (e.g., Tensorflow, Keras, Scikit-learn, Spark)
Programming skills in Python and/or R. Experience deploying data analytics models or cloud services is a plus
- Experience in an industry related environment (e.g., energy sector)
- Fluent in written and spoken English, knowledge of another language is an advantage
- Strong customer focus and excellent communication skills, as well as exceptional leadership and coaching skills to collaborate in multicultural, global teams and develop technical talent
- Open-minded and willing to learn and continuously improve own skillsResults-oriented and excellent interpersonal, communication and collaboration skills
- Enthusiastic about data and analytics and driving the use of data across all parts of a business and ecosystem

**Your responsibilities**
Leveraging research and the latest trends to design and develop concepts on how to best use AI to solve our customers' challenges
- Use a variety of tools and methodologies across the different areas of the business
- Be up to date on the latest developments in data science principles and theories to help the business make truly data-driven decisions
- Collaborate with a partner ecosystem with universities, research institutes, and other industry stakeholders
- Documenting methods, processes, and project deliverables and presenting results on a regular basis
- Participate in an inspiring team of thought leaders and data science experts within the global team

**LET’S TALK ABOUT US**
At Siemens Energy, we are more than just an energy technology company. We meet the growing energy demand across 90+ countries while ensuring our climate is protected. We provide the power to bring heat and light to our cities. We help our customers to save millions of tons of CO2 each year. That way we not only contribute, but actively drive the energy revolution for a better and greener future.

The Data & Analytics organization has been established and designed to help Siemens Energy achieve our mission by becoming a data driven organization. Treating and using data as a strategic asset enables us to support customers in transitioning to a more sustainable world, by using innovative technologies and bringing ideas into reality.

**MORE INSIGHTS**
Lucky for us, we are not all the same.

Through diversity, we generate power. We run on inclusion and compassion. Our combined energy is fueled by at least 130 nationalities. Siemens Energy celebrates character - no matter what ethnic background, gender, age, religion, identity, or disability.

Let’s make tomorrow different today

***

LI-JL1

**Organization**: Enterprise Data & Advanced Analytics
**Company**: Siemens Energy Global GmbH & Co. KG
**Experience Level**: Mid-level Professional

**Job Type**: Full-time


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