Data Scientist – Power Trading (m/f/d)

Employment Type: Full-Time Location Type: Remote

🌐 About Us

We are Germany’s fastest-growing digital green energy provider and a Certified B Corp™, driving the energy transition by making renewable energy more accessible and inclusive. We achieve this through variable tariffs, dynamic pricing, smart EV charging, heat pump and solar optimization, and Germany’s first virtual power plant: NeoGrid™.

At Ostrom, you’ll work in a dynamic, open environment where you can be yourself, take on challenges, and grow both personally and professionally.

Our Mission: To build Europe’s leading energy management platform to provide fair, clean energy to everyone. ⚡

We are a diverse team of 47+ employees, with 47% being female and from 16+ nationalities, and we are steadily growing. Having raised over €40 M in total, we are looking for passionate people to join us on our mission! 🚀

(Wir haben eine klare Mission: Wir bauen Europas führende Plattform für Energiemanagement, um faire und saubere Energie für alle zugänglich zu machen. ⚡ Unser Team ist vielfältig – wir sind über 47 Personen aus mehr als 16 Nationalitäten, mit einem Frauenanteil von 47 %. Und wir wachsen weiter! Mit über 40 Mio. € an Finanzierung suchen wir nach motivierten Menschen, die gemeinsam mit uns die Energiezukunft gestalten wollen. 🚀)

Your Mission

We are looking for a motivated Data Scientist – Power Trading (m/f/d) to support us in the green revolution of the electricity market as a digital electricity provider. As part of our Finance team, you will contribute to the ongoing development and continuous optimization of our power sourcing, hedging, and trading processes.

Your Key Responsibilities

• Building and maintaining forecasting models for energy consumption, energy prices, and related variables.
• Managing the entire model lifecycle – from development and deployment on AWS to monitoring and regular retraining.
• Supporting data-driven decision-making in trading and procurement through robust and scalable models.
• Working closely with colleagues across the business to ensure that our energy sourcing strategies remain data-driven, adaptive, and aligned with market dynamics.

Your Tasks

• Develop scalable forecasting models for household electricity consumption, PV generation, and EV charging flexibility, capable of handling a large number of households.
• Develop forecasting models (e.g., electricity prices) to support risk management and algorithmic trading.
• Support the procurement and integration of feature data for models, such as weather forecasts.
• Take full ownership of the entire model lifecycle, including deployment on AWS, performance monitoring, and retraining.
• Contribute to the development of our hedging and algorithmic trading platform.

Your Profile

• Master’s degree in a highly quantitative discipline and 2+ years of industry experience in forecasting.
• Strong foundation in applied mathematics, including statistics, stochastic processes, linear algebra, (numerical) analysis, and optimization.
• Proficiency in machine learning, forecasting, and time series analysis.
• Solid understanding of MLOps and data engineering, including experience deploying ML models to production.
• Strong software engineering skills and the ability to write production-level Python code with automated testing.
• Basic understanding of trading and risk management—or a willingness to acquire this knowledge to evaluate the business impact of your models.
• Hands-on mentality and a self-driven, solution-oriented approach to complex problems.
• Excellent communication skills in English (B2–C1), both written and spoken.
• Strong team player who thrives in a young, dynamic environment.

Nice to Have

• A PhD or similar experience demonstrating your ability to independently solve complex problems that have no off-the-shelf solutions.
• Experience working with asynchronously generated sensor data.
• German communication skills.
• Familiarity with the German energy market.
• Previous experience working in start-up environments.

💬 Stay In The Loop

We believe in transparency and open communication.

Salary: [Not Specified]