Posted
Associate Data Scientist (f/m/d)
by Predium
- Real Estate
- PropTech
- Software
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Introduction
As a Data Scientist at Predium, you will help develop and improve the data-driven models behind our platform. You will use statistics, machine learning, and numerical methods to solve well-defined problems related to buildings, energy performance, and real-estate decarbonization.
Working closely with our engineering and product team, you will turn real-world data into reliable analytical, simulation, and machine-learning models that identify optimization opportunities for more sustainable buildings and help customers make informed investment decisions.
Working closely with our engineering and product team, you will turn real-world data into reliable analytical, simulation, and machine-learning models that identify optimization opportunities for more sustainable buildings and help customers make informed investment decisions.
Tasks
- Develop and improve analytical, machine-learning, and simulation models to address business problems in the real-estate and energy domain.
- Build and improve data extraction pipelines for structured and unstructured sources, evaluating extraction accuracy and reliability
- Continuously explore and evaluate new data sources to improve model accuracy.
- Assess data quality, identify gaps and evaluate model performance by validating assumptions and results against real-world data and feedback of domain experts.
- Collaborate with data scientists, engineers, product managers, and other stakeholders to translate business needs into data-driven solutions.
- You take ownership of well-defined analytical and modeling problems and independently deliver robust solutions.
- Your models and analyses are reproducible, well-documented, and supported by appropriate validation.
- You translate technical results into clear implications for the product, our customers, and the business.
- You collaborate effectively across Data, Engineering and Product teams.
- You actively seek feedback and use it to improve both your technical work and your way of working.
Requirements
- A degree in data science, computer science, mathematics or a related field.
- 1–2 years of relevant hands-on experience, with programming, ideally in Python, through projects in areas such as physics-based modeling, machine learning, or data pipelines. TypeScript experience for product prototyping is a plus.
- A structured, independent approach to problem-solving.
- Curiosity about business needs and the ability to explain findings clearly to technical and non-technical stakeholders.
- Confident communication in English; German is a plus.
- Initial experience with optimization methods, LLM-based data extraction, or uncertainty and sensitivity analysis.
- Familiarity with real estate, building physics, or energy systems.
- Experience with tools for physical simulation or energy modeling.
Benefits
- Competitive salary, bonus, and equity. We want you to share in the success you help create.
- 30 vacation days (including company vacation)
- Wellpass
- Deutschland-Ticket
- Jobrad
- team events