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(Senior) Data Scientist - Energy Modeling (f/m/d)
Vue: 164
Jour de mise à jour: 07-10-2024
Catégorie: Informatique
Industrie:
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le contenu du travail
Your MissionAs a (Senior) Data Scientist - Energy Modeling, you will play a pivotal role in leveraging data to drive insights and optimize energy systems. You will be responsible for designing and implementing mathematical models, conduct research, and contribute to data-driven decision-making.
Your Responsibilities
- You will apply advanced statistical and machine learning techniques to analyze and model energy data
- You will develop and implement mathematical models and algorithms to simulate and optimize energy systems, driving efficiency and sustainability
- You will collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
- You will conduct exploratory data analysis and visualizations to derive insights and communicate findings to stakeholders
- You have a minimum of 1-2 years of research experience in data science, with a specific focus on energy modeling
- You have a Bachelors’s or Master’s degree in Electrical Engineering and Information Technology, Computer Engineering or a related field
- You are an expert in mathematical modeling and optimization techniques for energy-related applications
- You are analytical, detail-oriented, adaptable, a quick learner, collaborative, and structured
- You are excited about solving climate change and eager to contribute on a high scale
- You have a focus on multi-objective optimization, capable of leveraging your expertise to address diverse energy modeling scenarios
- Be a part of our diverse and highly motivated team, and contribute to an outstanding company culture
- Flexibility to work from home or our office in the heart of Munich
- Competitive compensation and benefit packages: 30 vacation days, Wellpass membership, personal development budget, and more
- State-of-the-art equipment and digital tools for hassle-free workflows
- Bi-weekly team events and quarterly impact days
- And much more ...
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Date limite: 21-11-2024
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