Data Scientist (m/f/d)

__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__.

As a __Data Scientist (m/f/d)__ in __Berlin__ or __Mannheim__, you will play a pivotal role in utilizing data to develop solutions tailored to meet the organisation's unique needs.

You do this by collaborating closely with various teams and business partners, collecting raw data, diving deep into patterns, to gain a comprehensive understanding of business products and problems, leading to automated machine learning based solutions. With your data science expertise, we can optimize product development and customer engagement initiatives.

__Key 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
  
  
  

What You'll Bring:

• 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
  
  
  

Are you convinced ? Then we offer:

• 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