Applied Data Scientist (Machine Learning)

Applied Data Scientist (Machine Learning)

Job Description:

We are seeking an Applied Data Scientist specializing in Machine Learning to join our dynamic team. In this role, you will be responsible for analyzing complex data sets to derive meaningful insights and developing, implementing, and optimizing machine learning models aimed at predicting and enhancing the energy performance of buildings. You will employ advanced statistical techniques to validate model accuracy and improve predictive capabilities. Your work will involve conducting rigorous statistical analyses to support model development and research findings, as well as interpreting and communicating statistical results to non-technical stakeholders. Staying updated with the latest statistical methods and tools is essential. You will also utilize building energy simulation software to create and test energy models, integrating simulation results with machine learning models to enhance prediction accuracy. Collaboration with cross-functional teams is key, as you will apply simulation insights to real building projects and contribute to research outcomes focused on energy efficiency, sustainability, and smart building technologies. Your responsibilities will include preparing detailed proposals, technical reports, and presentations for partners and funding bodies.

IT Languages:

• Python
• R
• MATLAB

As an Applied Data Scientist, you will play a crucial role in harnessing data to drive energy efficiency solutions.:

Analyze complex datasets to extract valuable insights;; Develop, implement, and enhance machine learning models for energy performance prediction;; Conduct thorough statistical analyses to support research findings;; Communicate statistical results effectively to non-technical audiences;; Utilize building energy simulation software for model creation and testing;; Collaborate with interdisciplinary teams to apply findings to real-world projects;; Contribute to research projects focused on sustainability and intelligent building technologies;; Prepare detailed technical reports and presentations for various stakeholders

Spoken Languages:

• English;; German

Skillset:

• Machine Learning
• Statistical Analysis
• Data Visualization
• Energy Modeling
• Simulation Software

Soft Skills:

• Strong communication skills
• Project management
• Team collaboration
• Problem-solving
• Adaptability

Qualifications:

• Master's degree in Data Science, Computer Science, Statistics, Engineering, or a related field
• PhD preferred
• Proven experience in data analysis and machine learning, especially in building energy or sustainability

Years of Experience:

5

Location:

Munich, Bavaria, Germany, EU

Job Benefits:

• Flexible and family-friendly working hours
• Remote work options and hybrid work structures
• Investment in personal development and training
• Access to an interdisciplinary and international team
• Regular team events and activities
• Close collaboration with the founding team for rapid learning opportunities
• Chance to make a significant impact on sustainability within the industry

Working Conditions:

Full Time

Employment Type:

Permanent Contract

Company Culture:

• Our culture emphasizes openness, collaboration, and a friendly atmosphere where every team member is valued. The 'you' culture permeates all levels of the organization, promoting approachability and authenticity.

Opportunities For Advancement:

• Career growth within a rapidly expanding company, Possibilities to lead projects and initiatives, Opportunities for further academic qualifications

Visa Sponsorship:

Available