SAMAWATT is a Swiss-based leader in renewable energy and short-term algorithmic trading. Our SaaS solutions empower energy market participants by providing real-time forecasting and automated decision-making tools across European electricity markets. By merging advanced data science with cutting-edge cloud technology, we are accelerating the global transition to a low-carbon energy system. Position Summary Are you passionate about applying advanced machine learning methods—regression, ensemble learning, time series forecasting—in a real-world business context? At SAMAWATT, you will have a direct impact on our trading strategies and energy optimization models across European markets. We are seeking a Senior Data Scientist with deep expertise in predictive modeling and a strong understanding of cloud-based deployment to join our dynamic, fast-learning environment. Your Responsibilities * Design and implement new machine learning models for forecasting electricity supply, demand, and prices across various European countries. * Continuously improve existing models and predictive pipelines; introduce innovative methodologies and ensure performance at scale. * Develop, monitor, and own key model KPIs tied to trading performance and business impact. * Collaborate with software engineers and business analysts to deliver scalable data science solutions across our trading and SaaS platforms. * Co-develop and execute the roadmap for analytical tools and AI-powered features. * Translate complex datasets into actionable insights that drive strategic trading and operational decisions. * Operate in a modern cloud-native environment using tools such as Google Cloud Platform (GCP), Kubernetes, Terraform, Grafana, and CI/CD best practices.
Your Profile * A minimum of 15 years of hands-on experience in predictive modeling of structured data (regression, time series forecasting, XGBoost, ensemble learning, etc.). * Proven expertise in applying statistical and machine learning techniques in commercial environments. * Advanced degree (Master’s or PhD) in Mathematics, Econometrics, Statistical Physics, Data Science, or a related field. * Deep understanding of cloud computing platforms (preferably GCP) and model deployment best practices. * Strong programming skills in Python and familiarity with ML libraries such as Scikit-learn, XGBoost, and TensorFlow or PyTorch. * Expertise in stochastic optimization techniques for decision-making under uncertainty, with applications in dynamic systems such as energy markets and trading strategies. * Proven track record of cross-functional collaboration with engineering and business teams. * Clear, effective communication skills and the ability to translate complex analysis into business value. * Passion for the energy sector and a strong interest in how power exchange markets operate.
Why You Will Love Working With Us * Join a collaborative and ever-evolving team committed to excellence, innovation, and shared success. * Be part of a company dedicated to renewable energy and the mission of global decarbonization. * See the direct impact of your models on company performance and market outcomes. * Work with large-scale, diverse datasets spanning commercial, customer, market, and operational sources. * Influence the choice and implementation of new technologies and tools in a cloud-native environment. * Contribute to a high-impact team as we expand internationally.
