Lead Data Scientist (m/f)

Job Informationen ######

Location: Rapperswil & remote Workload: Full-time Your tasks: Lead, define, and scale the Data Science and AI department with significant freedom to establish technical roadmaps and architectural standards. Design, train, and optimize advanced AI models, specifically leveraging NILM and HAR, to extract actionable insights from raw smart meter data. Analyze large datasets and develop statistical models to drive data-based decision-making for energy retailers. Collaborate closely with the engineering team to seamlessly deploy models into our production stack (Azure, AKS, MLFlow, KServe, CosmosDB, LakeFs). Create visual representations of complex data and analytics, making results understandable and accessible for our clients and internal stakeholders. Continuously evaluate new technologies and methodologies to improve the efficiency and accuracy of our Household Profiling and Engagement Services. Your profile: Completed degree in Computer Science, Mathematics, Statistics, Physics, or a related field. Advanced proficiency in programming languages such as Python, R, or SQL, alongside proven experience with LLMs and modern machine learning frameworks. Deep understanding of statistical methods and data analysis, combined with the ability to solve complex, novel problems independently. Strong technical leadership capabilities, with the ability to clearly present technical results and collaborate cross-functionally. Proficiency in both German and English. Bonus: Familiarity with our existing tech stack (Azure, Kubernetes, MLFlow) or experience within the energy sector.

Benötigte Skills ######

• Deutsch
• Englisch
• Azure
• Management / Führung
• Senior
• Python
• Machine Learning
• R
• SQL