__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
(Senior) Data Scientist (m/f/d) in Mannheim
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
What you can expect from us
- 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
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