Description
PAUL Tech AG is a technology leader in the real estate industry with the mission to make buildings carbon neutral . Our proprietary technology, consisting of IoT-enabled hardware and AI-supported software, permanently optimizes water-bearing systems in buildings. This reduces CO2 emissions and energy costs . Everyone benefits: owners, operators, occupants and the climate. At Paul, we are researchers, developers and practitioners with the common goal of developing intelligent solutions for buildings to combat climate change .
Therefore we are looking for you to drive our scaling as
Core responsibilities
Buiness Collaboration
- Partner and collaborate closely with business stakeholders to understand their strategies, needs, and objectives
Data Integration
- Connect data from various sources, collaborating with Operations Managers and engineers to develop comprehensive data solutions
Data Preparation
- Use statistical and analytical methods to comprehend the data and perform data cleansing and feature engineering to make the data fit for machine learning use case
Modeling Expertise
- Strong understanding of building and evaluating regression models
Insight Communication
- Communicate the outcome in a compelling and accessible manner to support product development and decision-making
The skillset we are looking for
- Experience in data analysis and machine learning (specifically regression or reinforcement learning) preferably within a business context
- Strong zeal for Data Crunching and Wrangling
- Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators
- Proficiency in SQL and Python for data exploration and model building
- A proactive and collaborative mindset , with the ability to work effectively in cross-functional teams
- Strong analytical and problem-solving skills with the ability to articulate complex ideas
- A passion for learning, hands-on work, taking ownership, and making an impact
Bonus points if you bring
- Experience in developing and implementing generative AI models and algorithms
- Familiarity with natural language processing (NLP) and computer vision for generative AI applications
- A meaningful job that contributes to global CO2 savings
- A collegial working atmosphere with short decision paths
- A permanent contract with an above-average salary
- 30 days vacation per calendar year plus 24.12. and 31.12. off
- Company private health insurance and supplementary pension
- Company fitness subsidy in your region
- Regular company events to which you are very welcome
- Tram ticket as well as drinks and fruit in our offices