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Remote Energy Data Scientist

Veröffentlicht am

Arbeitsort
Benoni, Deutschland
Gehaltsschätzung
60.000–80.000 € brutto/Jahr · KI-Schätzung von Salary Quick anhand von Jobtitel und Ort (Stand 2026-09-28). Arbeitszeit und individuelle Konditionen können den Betrag verändern. Keine Gehaltszusage.

Stellenbeschreibung

About the Role

Our client, a leader in the energy sector , is seeking an innovative Remote Energy Data Scientist to join their global analytics team. This is a fully remote position, allowing you to work from anywhere while driving significant advancements in energy efficiency and grid optimization through data. You will be responsible for collecting, cleaning, and analyzing vast datasets related to energy consumption, production, and grid performance. Your insights will directly influence strategic decisions, helping to shape the future of sustainable energy. If you are passionate about leveraging data to solve complex energy challenges, this remote opportunity is ideal.

Key Responsibilities

  • Develop and implement advanced statistical models and machine learning algorithms to analyze energy consumption patterns and predict demand.
  • Process and clean large, complex datasets from various sources, including smart meters, sensors, and market data.
  • Identify trends, correlations, and anomalies in energy usage and generation data to uncover optimization opportunities.
  • Design and build data visualizations and dashboards to communicate complex findings to technical and non-technical stakeholders.
  • Collaborate with engineering and product teams to integrate data-driven solutions into energy management systems.
  • Stay abreast of the latest advancements in data science and their applications within the energy industry.

Requirements

  • Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related quantitative field.
  • Proven experience (6+ years) as a Data Scientist , with a focus on the energy sector or large-scale data analysis.
  • Expert proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, Pandas).
  • Experience with big data technologies (e.g., Spark, Hadoop) and SQL databases.
  • Strong understanding of statistical modeling, machine learning techniques, and time series analysis .
  • Excellent communication skills and the ability to translate complex data insights into actionable business strategies in a remote setting.

Benefits

  • Exceptional salary and comprehensive benefits package.
  • Fully remote work environment offering unparalleled flexibility.
  • Generous professional development budget and access to cutting-edge tools.
  • Opportunity to work on impactful projects that shape the future of the energy industry .
  • Collaborative and innovative virtual team culture.

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