A Snapshot of Your Day

Our team is driving the Siemens Energy Digital Transformation, a global initiative to enhance the efficiency of Siemens Energy Procurement. We are looking for a motivated and experienced Data Scientist to join our team and contribute to our digitalization projects. In this role, you will be pivotal in optimizing processes through sophisticated Machine Learning and Generative AI techniques.

How You’ll Make an Impact

• Foster relationships with internal customers at all levels to ensure the successful development and implementation of Machine Learning use cases.
• Collaborate with multi-functional teams to identify business problems and translate them into data science opportunities.
• Convert client requirements into machine learning applications, iteratively refining them with partners to meet business needs.
• Apply Dev Ops/MLOps principles to ensure continuous integration, deployment, and operational efficiency.
• Being at the forefront of designing, developing and operationalizing RAG systems (“RAGOps")
• Introduce new ML technologies within Procurement to enhance cost efficiency and service delivery performance.
• Contribute to the organization’s MLOps strategy by incorporating automated training, testing, and monitoring of traditional ML models and RAG systems.

What You Bring

• Master’s degree (or higher) in Data Science, Computer Science, Statistics, Engineering, or a related field with a solid focus on Data Science and Machine Learning.
• Proven experience of at least 3 years in Data Science or Machine Learning roles.
• Strong proficiency in programming languages, specifically Python and SQL, for thorough data analysis, effective model development, and seamless deployment.
• Experience with Generative AI use cases, including working with LLMs, Embedding Models, and RAG systems.
• Experience in building Data Analytics Web Apps using frameworks like Streamlit, Django, or Flask to share ML prototypes with internal customers.
• Solid understanding of Dev Ops/MLOps principles and tools for operationalizing machine learning models, including Git, Docker, and AWS.
• Hands-on experience with various ML techniques such as Regression, Classification, Clustering, and more.
• Superb communication skills in English, with the ability to collaborate effectively with partners across various functions and global locations.

About the Team

We look forward to your application and the possibility of you joining our dynamic team as we embark on this exciting journey of digital transformation.


Who is Siemens Energy?
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. With more than 98,000 dedicated employees, we not only generate electricity for over 16% of the global community, but we’re also using our technology to help protect people and the environment.
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.

Rewards/Benefits

• Competitive salary
• Meal allowance
• Fair monetary compensation when working abroad
• Health insurance
• Remote work allowed when in Portugal
• Besides the legal vacation period, if not working abroad, you can enjoy 5 pre-established “Pontes"
• If your birthday is on a weekday, and you are not abroad, we give you the day
• Free shuttle to our Alfragide office
• Among others

https://jobs.siemens-energy.com/jobs

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