Siemens Energy
我们拥有创新技术,我们拥有将想法变成现实的能力,我们帮助客户向更加可持续的世界转变,以此“为社会注入活力”。我们在全球拥有近 9 万名员工,共同塑造现在乃至未来的能源体系。
Gas Services
凭借技术、解决方案、服务和脱碳,实现低排放发电。无论是传统发电还是可再生能源发电,西门子能源都能够通过创新技术和升级改造服务,不断提升能源资源的利用效率,助力实现能源转型。
关于职务
- 国家: PORTUGAL
- 州/省/县: Porto
A Snapshot of Your Day
As the Data Scientist (Machine learning Ops) you will be part of our Digital Services unit at Gas Services in Siemens Energy and work on challenging projects from all areas of the energy industry. Through combining strategic and business insights with the latest analytical techniques, you help our Business Units to drive maximum value from data and develop analytics solutions that provide strategic advantages in their day-to-day operations.
How You’ll Make an Impact
● Work as a Subject Matter Expert in a global team, developing advanced analytics solutions across the value-chain.
● Create data mining architectures, models, protocols, and methodologies for statistical and data analysis to identify patterns in heterogeneous datasets.
● Design and develop AI concepts using research and latest trends to address customer challenges effectively.
● Apply tools and methods broadly across various business areas, ensuring versatility and impact.
● Stay updated on data science principles, theories, and techniques to support data-driven business decisions.
● Document and share methods, processes, and project results, regularly communicating and presenting findings as part of the ED&AA global team.
What You Bring
● Possess working knowledge and experience in Data Science, Machine Learning, and AI, with expertise in AWS SageMaker.
● Skilled in serverless technologies (Python, .NET), data warehousing systems, and setting up target database systems.
● Demonstrate excellent analytical skills and expertise in statistical modeling, with strong programming skills in Python and/or R.
● Experience in deploying data analytics models using technologies like Docker and cloud services for data analytics is beneficial.
● Strong customer focus, excellent communication skills, and ability to navigate global, multicultural environments; industry-related experience is a plus.
● Passionate about data and analytics, driving data value across organizations, and excelling in team collaboration and multidisciplinary environments.
About the Team
Our Gas Services division offers Low-emission power generation through service and decarbonization. Zero or low emission power generation and all gas turbines under one roof, steam turbines and generators. Decarbonization opportunities through service offerings, modernization, and digitalization of the fleet.
Who is Siemens Energy?
At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.
Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.
Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo
Our Commitment to Diversity
Lucky for us, we are not all the same. Through diversity we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Rewards/Benefits
- Competitive salary and meal allowance
- Fair compensation for international work
- Health insurance coverage
- Remote work permitted within Portugal
- Additional 5 “Pontes” days off and Birthday off if it falls on a weekday, when not abroad
- Amongst others