Data Processing & Curation – Engage with internal and public data to create clean datasets for energetic simulations.
Algorithm Development – Develop and tune algorithms to improve the quality and efficiency of energy consultations for customers.
Benchmarking – Assess the performance of algorithms to ensure they meet high-quality standards.
New Approaches – Stay updated on AI developments and propose new methods to enhance data products.
Studies & Professional Experience – Degree in computer science, mathematics, physics, or related field, with at least 3 years in a data science role.
Technical Expertise – Excellent Python skills, understanding of machine learning algorithms, cloud computing, and data science tools.
Ingenuity – Creative and innovative problem solver.
Mindset & Collaboration – Self-organized, proactive, confident, and eager to collaborate, with a 'maker' mindset.
Language – Fluent in English and German.
Computational Geometry – Experience with geospatial 3D datasets and computational geometry.
Expertise in energetic simulations – Understanding energy loss physics in buildings and experience with numerical energy efficiency simulations.
Committed to a green future and CO2 reduction through energy efficiency.
Ambitious, supportive of growth, and responsible.
Digital, innovative, customer-focused, and motivated.
Team-oriented, open communication, fun, and positive impact.
Valuing in-person interactions with a thoughtfully designed Berlin office and team events, while supporting flexible remote work two days a week.
Typ:
VollzeitArbeitsmodell:
Vor OrtKategorie:
Erfahrung:
2+ yearsArbeitsverhältnis:
AngestelltVeröffentlichungsdatum:
06 Nov 2025Standort:
Berlin
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