Senior Data Scientist (m/w/d) – Machine Learning & Engineering

About PAUL Tech AG

PAUL Tech AG is a technology leader in the real estate industry with the mission to make existing buildings climate-neutral. Our solution PAUL Net Zero combines AI, IoT devices, and heat pumps into an intelligent overall system for CO₂-neutral heat – completely without renovation effort or investment risk.

Do you burn for robust machine learning models, clear data engineering pipelines, and want to create real impact in the energy market?

Then you are right with us.

Your Core Tasks

Machine Learning & Modeling

• You develop and validate ML models for time series forecasting (e.g., consumption, KPIs, system states)
• You evaluate and implement modern methods (e.g., Reinforcement Learning, Predictive Control) for forecasting and optimization

Engineering & Data Infrastructure

• You build robust data pipelines and ensure clean feature engineering processes in close collaboration with Data Engineering
• You ensure the highest quality, testing, and production standards for models and services

Product Integration & Scaling

• You work cross-functionally with Product, Software, and Operations to transfer models into products productively, performantly, and maintainably
• You develop component-capable ML building blocks that contribute to the scaling of our energy market functionalities

Communication & Knowledge Transfer

• You present results understandably and action-oriented in the team and to stakeholders
• You help build and further develop our Data Science Best Practice Framework

What You Bring

• A completed degree in Computer Science