Senior Applied Data Science Engineer

A Snapshot of Your Day

As a Senior Applied Data Science Engineer within the Scalable Core team, you will lead the design and implementation of intelligent solutions that drive the digital transformation of energy management. You’ll apply advanced data science techniques to real-world problems, guide the development of reusable components for our AI/ML/GenAI platform, and ensure that deployed models are robust, scalable, and production-ready. Beyond technical contributions, you will play a key role in shaping the platform’s roadmap, mentoring junior team members, and aligning our work with strategic goals. Your impact will be felt across the Siemens Energy as you help engineering teams create high-quality, intelligent, and scalable software solutions for cloud, on-premises, and edge environments.

How You’ll Make an Impact
Apply advanced data science techniques to complex energy datasets to extract insights and deliver robust, production-ready predictive solutions.
Design and implement reusable AI/ML components (preprocessing, feature engineering, evaluation, monitoring) that power multiple energy use cases across the organization.
Architect scalable integration of models into production systems in close collaboration with MLOps and platform engineers.
Lead the end-to-end model lifecycle from experimentation to production deployment across cloud, on-prem, and edge environments, ensuring explainability, uncertainty estimation, robustness, and SLA compliance..
Translate complex energy domain problems into structured, high-impact AI solutions with measurable business outcomes.
Guide junior engineers, structure the team backlog, and align technical execution with overall platform strategy and priorities.

What You Bring
Master’s degree in Data Science, Computer Science, Applied Mathematics, or a related field.
Solid longstanding hands-on experience in applied data science or statistical modeling, with strong practical outcomes.
Advanced proficiency in Python and its data science ecosystem (e.g., pandas, scikit-learn, NumPy) and familiarity with deep learning frameworks such as PyTorch or TensorFlow.
Strong understanding of model evaluation, statistical analysis, and production deployment, including experience with MLOps tools like MLflow, Airflow, or Kubeflow across cloud, on-prem, and edge environments.
Proven ability to lead, coach, and collaborate effectively within a cross-functional team, with excellent communication and stakeholder management skills.
Experience working with large language models (LLMs) or generative AI systems is a plus

About the Team

The Scalable Core team drives the foundational technologies and developer platforms that empower scalable and intelligent energy management solutions across Siemens Energy. We build reusable backend services, AI/ML platforms, and lifecycle tools to support cloud, on-prem, and edge deployments. Our mission is to enable teams to deliver intelligent solutions faster and with higher quality – through automation, developer experience, and scalable software foundations. Whether it’s through a streamlined Software Factory Console, advanced model lifecycle capabilities, or self-service deployment engines, we ensure that engineering teams can focus on solving energy challenges – not reinventing the wheel.

Who is Siemens Energy?

At Siemens Energy, we are more than just an energy technology company. With ~100.00 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.

Rewards/Benefits
Competitive compensation package
Work-life balance: Flexible working time
Flexible mobile working policy (hybrid)
Local benefits such as meal allowance, flexible plan and much more
Self-driven development framework with insights and resources to develop and grow on technical and soft skills. Continuous learning
International and cross Business Units
https://jobs.siemens-energy.com/jobs