Data Scientist - Energy Forecasting & Optimization

GMBH Corporation

United States

11 days ago

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Role details

Contract type

Permanent contract

Employment type

Part-time (≤ 32 hours)

Working hours

Shift work

Languages

English, German

Job source

arc.dev

Tech stack

Databases Convex Optimization Statistical Hypothesis Testing Python (Programming Language) Linear Programming NumPy Operational Data Store SciPy Simple Data Format Jupyter Pandas Information Technology

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Restful APIs

Job 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

Requirements

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)

Benefits & conditions

EGYM Wellpass, bike & IT leasing, job ticket, flexible working hours, company pension scheme
Real impact: actively help shape the energy transition
Creative freedom with high ownership, modern tech stack & cloud-native architecture
Stable environment: part of the family-owned Centrotec Group