Data Scientist – Energy Optimization

SpotmyEnergy GmbH

SpotmyEnergy GmbH is a leader in energy transition, crafting innovations for integrating small assets into flexible energy grids. They seek a Data Scientist to develop models and algorithms to optimize household energy usage, collaborating with product and engineering teams for impactful solutions promoting sustainability.

In this role you can expect to have the responsibilities:

• Develop and improve models for household energy optimization.
• Create predictive algorithms for automated energy management.
• Manage and analyze large energy datasets for insightful analysis.
• Collaborate with product managers and engineers on product development.
• Use data analytics to identify trends and suggest improvements for energy solutions.

This role comes with the following benefits:

This role requires you to have:

• Expertise in machine learning, statistical modeling, and predictive analytics.
• Proficiency in Python, SQL, and frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Strong analytical skills for deriving insights from complex datasets.

You would benefit from having:

• Experience with time series data and global forecasting models.
• Knowledge of energy systems and sustainability topics.
• Fluency in English and proficiency in German.

SpotmyEnergy is pioneering smart energy solutions to aid the transition to flexible, weather-dependent energy sources.