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Senior Data Scientist @

2 weeks ago

Remote, Czech Republic SAMAWATT Full time
  • 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.

About SAMAWATT

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.

,[ 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.] Requirements: Forecasting, Machine learning, Degree, PhD, Data science, TensorFlow, PyTorch, Communication skills, Python, Cloud computing, GCP, Python, scikit-learn