Data Scientist
October 21
Description
• Play a central role in data analysis for renewable energy industrial projects. • Develop data-driven solutions for optimizing software and business processes. • Analyze large datasets to gain insights for energy projects. • Develop machine learning models and statistical algorithms to improve project results. • Collaborate with interdisciplinary teams to understand data requirements and develop targeted solutions. • Design data pipelines and architectures catering to project specifications. • Validate models through testing and analyses to ensure accuracy. • Participate in agile development processes to advance data-based solutions. • Create documentation for models and algorithms, and present findings to stakeholders.
Requirements
• In-depth knowledge of data science, machine learning and statistics. • Experience in using programming languages such as Python or R for data analysis. • Understanding of the special features and requirements in the field of renewable energies. • Experience with common data analysis tools and frameworks. • Team orientation and strong communication skills to convey complex technical content in an understandable way.
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