Job Description:

We are looking for an Applied Data Scientist specializing in Machine Learning to join our innovative team. In this role, you will analyze complex datasets to extract meaningful insights that can drive energy efficiency in buildings. You will develop, implement, and optimize machine learning models focused on predicting and enhancing the energy performance of buildings. Utilizing advanced statistical techniques, you will validate model accuracy and improve predictive capabilities. Your responsibilities will include conducting rigorous statistical analyses to support model development and research findings, as well as interpreting and communicating these results to non-technical stakeholders. You will stay current with statistical methods and tools to ensure the highest standards of analysis. Additionally, you will use building energy simulation software to create and test energy models, integrating simulation results with machine learning models to enhance prediction outcomes. Collaboration with cross-functional teams to apply simulation insights to real-world building projects will be a key aspect of your role. You will also contribute to research projects focused on energy efficiency, sustainability, and smart building technologies, preparing detailed proposals, technical reports, and presentations for partners and funding agencies.

IT Languages:

• Python
• R
• MATLAB

As an Applied Data Scientist, you will be responsible for a range of tasks that require expertise in data analysis and machine learning.:

Analyze complex datasets to derive actionable insights;; Develop and optimize machine learning models to predict building energy performance;; Conduct statistical analyses to support research outcomes;; Communicate findings to non-technical stakeholders;; Utilize building energy simulation software for model testing;; Collaborate with interdisciplinary teams on real building projects;; Contribute to research projects targeting energy efficiency and sustainability

Spoken Languages:

• English;; German

Skillset:

• Machine Learning
• Statistical Analysis
• Data Visualization
• Building Energy Simulation
• TensorFlow
• Scikit-learn

Soft Skills:

• Strong project management abilities
• Excellent communication skills
• Ability to work independently and as part of a team
• Critical thinking and problem-solving skills
• Adaptability and willingness to learn

Qualifications:

• Master’s degree in Data Science, Computer Science, Statistics, Engineering, or a related field
• Ph.D. is a plus
• Experience in EU research projects is highly desirable

Years of Experience:

5

Location:

Europe

Job Benefits:

• Flexible and family-friendly work arrangements
• Remote work options or office work in Munich
• Investment in continuous education and development
• Collaboration with a dynamic and international team
• Frequent team events and activities
• Opportunities for impactful work in sustainability

Working Conditions:

Full Time

Employment Type:

Permanent Contract

Company Culture:

• We foster a culture of openness, innovation, and collaboration. Our team is diverse, approachable, and passionate about making a difference in the PropTech industry.

Opportunities For Advancement:

• Potential for career progression within the company, Opportunities to lead projects, Participation in cutting-edge research initiatives

Visa Sponsorship:

Available