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