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 Berlin

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

Would you like to become part of us? Then apply here.

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