(Senior) Data Scientist - Energy Modeling (f/m/d)

☞ Predium

見る: 166

更新日: 07-10-2024

場所: Munich Bavaria

カテゴリー: 情報技術

業界:

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仕事内容

Your Mission

As 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
Your Profile

  • 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
Bonus points:
  • You have a focus on multi-objective optimization, capable of leveraging your expertise to address diverse energy modeling scenarios
Why Predium?

  • 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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締切: 21-11-2024

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