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# Data Scientist - Energy Forecasting & Optimization

- **Company:** GMBH Corporation
- **Location:** United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Databases, Convex Optimization, Statistical Hypothesis Testing, Python (Programming Language), Linear Programming, NumPy, Operational Data Store, SciPy, Simple Data Format, Jupyter, Pandas, Information Technology, Restful APIs
- **Published:** September 10, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pj26mg884c

## About the Role

* Strong Python skills (Jupyter, Pandas, Numpy, Scipy, cvxpy) and experience connecting to diverse data sources (databases, REST APIs, file formats)
 * Degree in a scientific or engineering discipline (e.g., electrical engineering, physics, mathematics, computer science, energy systems)
 * Proven experience with convex optimization and mixed-integer linear programming (MILP)
 * In-depth knowledge of electricity markets, especially spot market trading in Germany
 * A pragmatic builder and analytical mindset: you care about shipping robust solutions, not just elegant models and enjoy in turning insights into interactive notebooks and visualizations
 * Clear communication and ownership in a fast-moving, collaborative startup environment.
 * Fluent English (C1); German is a plus but not required - we value curiosity and willingness to learn over existing fluency
 * Bonus: experience with commercial energy technology components (batteries, EV chargers, PV systems)

## Description

* Develop and improve optimization models for battery scheduling, EV charging and energy cost reduction.
 * Build forecasting models for consumption, PV generation, charging demand and market-related signals.
 * Apply statistical methods (time series analysis, regression, hypothesis testing) to analyze energy data
 * Analyze operational and pilot project data to identify optimization opportunities
 * Work with real customer systems, messy operational data and practical constraints such as runtime, reliability and cost.
 * Collaborate closely with engineers, product colleagues and energy experts to bring models into production.
 * Support sales with requirements analysis and system simulations


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