Associate Data Scientist (fmd)
Job Summary
Over the past three years Predium has built the leading real estate intelligence platform for ESG and value management in the DACH region - with the strongest names in the industry as customers: asset managers housing companies banks. Our customer base our data our credibility - thats valuable capital for the next step. Investment credit and asset management decisions in real estate are still made in Excel case by case. Were now building the AI analyst that takes this work off peoples hands - working directly on the customers own data scalable without adding headcount. Were well-funded and were bringing AI into real estate.
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.
- 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.
- A degree in data science computer science mathematics or a related field.
- 12 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.Bonus:
- 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.
- Stage: 40 people well-funded on the way to defining the category. Early enough that a lot still needs to be built. Yes its messy sometimes - thats the whole point. If youre looking for a job with a finished playbook this isnt the right fit.
- Impact: Youre not cog #100 in some company. The models you build feed straight into our product and get used by real customers. Your contribution shows up directly in revenue and in the product.
- Ownership: We dont manage your time we measure your results. You get responsibility and freedom - and the expectation that youll use both.
- Compensation: Competitive salary bonus and equity. We want you to share in the success you help create.
- Team: Office-first in Munichs Werksviertel 4 days/week.
30 vacation days (including company shutdown days) Wellpass Deutschland-Ticket Jobrad team events
About Company
At Predium, we're on a mission to fight climate change by reducing building emissions. We develop cutting-edge solutions for sustainable and profitable real estate management, and are always on the lookout for self-starters who share our passion for making a positive impact.