
VPP Modeling Engineer / Data Scientist (m/f/d)
1KOMMA5°
公司概况
1KOMMA5°
德国汉堡
2021
商业模式
可再生能源
提供太阳能解决方案和服务
太阳能系统销售、安装和维护
地点与地理
主要在德国运营,特别是在汉堡及周边地区
公司文化
他们的使命是推动可再生能源的普及,促进可持续发展
注重团队合作与创新,提供灵活的工作安排
提供培训和职业发展机会,支持员工成长
活动与项目
正在进行多个太阳能项目,致力于提高能源效率
开发新型太阳能技术以提高系统性能
实施绿色办公政策,减少碳足迹
职业机会
常见职位包括太阳能顾问、安装技术员和项目经理
提供竞争力薪资、健康保险和灵活工作时间
联系信息
最后更新于 2025-01-15 | 报告问题
Job Description
As a VPP Modelling Engineer / Data Scientist, you will play a critical role in driving the development of flexibility and optimization models for our Virtual Power Plant (VPP) solutions. Your focus will be on enabling seamless integration and participation of distributed energy resources, such as batteries, EV chargers, and heat pumps, in key energy markets including day-ahead, intraday, and balancing services.
You will collaborate closely with cross-functional teams, including data scientists, software engineers, and energy market specialists, to design and deploy scalable algorithms within a cloud-based infrastructure. By translating complex technical requirements into efficient solutions, you will ensure our VPP platform delivers cutting-edge capabilities that align with market demands and customer needs. Your main focus will be to:
- Designing advanced flexibility models for distributed energy resources.
- Developing and deploying optimization algorithms for energy market participation including day-ahead, intraday, and balancing services.
- Create and refine aggregation and deaggregation methodologies to maximize the monetization of flexibilities.
- Ensuring solutions are scalable, reliable, and effectively integrated into a cloud-based infrastructure.
Other responsibilities include:
- Collaborate with forecasting teams to enhance accuracy for energy assets and real-time control methodologies.
- Translate complex technical requirements into efficient algorithms and deploy them on cloud-based platforms (Google Cloud Platform).
- Implement real-time control solutions to improve VPP responsiveness.
Your profile
The successful candidate will have:
- Strong proficiency in Python for algorithm development and data science.
- Demonstrated experience with optimization modeling frameworks such as Pyomo, AMPL, GAMS, or similar tools.
- Advanced knowledge in energy markets (day-ahead, intraday, and balancing) and VPP market participation strategies.
- Background in forecasting models, with a focus on time-series forecasting.
- Familiarity with cloud platforms (preferably Google Cloud Platform) and cloud computing fundamentals
- A proactive mindset and the ability to work well under pressure in a fast-growing company while keeping an eye on both short-term milestones and long-term goals.
- An agile and product-oriented mindset and you consider yourself a team player
- Very strong written and spoken English skills, German is a plus
Bonus points for:
- Exposure to real-time control methodologies.
- Familiarity with Typescript.
- Experience with cross-European energy markets, beyond Germany.
- Proven track record of developing cross-European VPP algorithms and solutions.
We are an ambitious and dynamic company with a talented team. We require our engineers to be imaginative, enthusiastic, and willing to tackle new challenges as we strive to provide everyone with renewable energy technologies.
Benefits
- Contribute to a dynamic and highly motivated team with people who have proven that they can make things happen and move companies forward
- With your work, you accelerate the "energy and mobility transition" and make a concrete contribution to the sustainable transformation of our energy infrastructure
- You move in flat hierarchies and have direct contact with the managing directors as well as short decision-making paths
- Work with and learn from other skilled engineers and join conferences and exciting meetups
- You can work remotely (Germany-wide), with offices in Berlin, Hamburg and Munich
- See the direct impact of your work on a rapid-scaling user base
- Create a healthy balance alongside your work and enjoy all the benefits of the EGYM Wellpass
关于这个角色
2025年3月25日
混合
- 柏林,德国
- 汉堡,德国
- 慕尼黑,德国
Intermediate to advanced experience in data science and energy markets
UTC+01:00
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