Siemens Gamesa

• End-to-End Ownership: Manage the complete data science lifecycle for various finance use cases, such as forecasting and anomaly detection.
• Business Problem Framing: Collaborate with product managers and finance stakeholders to define KPIs and translate business problems into testable hypotheses.
• Model Development: Develop and iterate models using appropriate methods (e.g., supervised/unsupervised learning, NLP/LLMs), balancing accuracy, speed, and interpretability.
• Experimentation: Design and conduct experiments (A/B tests, backtesting) and clearly communicate results, including trade-offs and business implications.
• Collaboration for Production: Work with data and ML engineers to productionize models and data pipelines, ensuring reliability and scalability.

• Educational Background: University degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field.
• Statistical & ML Expertise: Strong foundation in statistics and machine learning; experience with LLMs is a plus.
• Programming Skills: Proficient in Python and SQL, with the ability to write production-quality code and collaborate effectively.
• Practical Experience: Experience building high-impact models from prototype to production in cloud environments (preferably AWS).
• Communication Skills: Ability to convey complex technical topics to non-technical stakeholders and collaborate effectively with diverse teams.

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.      

• In addition to an attractive remuneration package in line with the market, you can expect an attractive employer-financed company pension scheme
• We also offer the opportunity to become a shareholder of Siemens Energy
• We offer a wide range of options for balancing family and career, such as flexible working time models, childcare facilities at many locations, the option of trial part-time work or a sabbatical
• The professional and personal development of our employees is very important to us. We provide them with the opportunities to learn and develop in a self-determined way, various attractive programmes and learning materials are available for this purpose