SAMAWATT
Távmunka
1.7M – 2.5M HUF alkalmazotti havi bruttó
Elvárások
- Forecasting
- Machine learning
- Degree
- PhD
- Data science
- TensorFlow
- PyTorch
- Communication skills
- Angol
Előnyt jelentő készségek
- Cloud computing
- GCP
- Python
- scikit-learn
A mi követelményeink
- 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.
Pozíció / projekt rövid leírása
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.
Napi feladatok
- 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.
mutass kevesebbet
Specifikációk
- Online állásinterjú
- Toborzás nyelvei: lengyel&angol
- Azonnali kezdés
- Távmunka
