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Senior Data Scientist – Clean Energy Sector

Job Summary: Our client is a forward-thinking organization dedicated to advancing the clean energy sector through innovative, data-driven solutions. Their mission is to support a sustainable energy future by optimizing renewable energy usage, enhancing grid performance, and driving efficient, eco-friendly energy consumption. We are seeking an experienced Data Scientist with a specialization in clean energy to lead predictive analytics initiatives and support our goal of a resilient, sustainable energy landscape.

The Senior Data Scientist will lead the development of predictive models and analytics that optimize clean energy consumption, enhance grid efficiency, and provide actionable forecasts for renewable energy generation. With a minimum of 10 years of experience in data science and a deep background in clean energy, you will play a pivotal role in shaping our data strategy and empowering our teams to achieve sustainable energy outcomes.

Key Responsibilities:
  • Design and implement predictive models that provide insights into clean energy consumption patterns, demand forecasting, and load balancing.
  • Develop algorithms for optimizing grid efficiency, reducing energy loss, and improving system stability in a clean energy context.
  • Create forecasting models for renewable energy sources (e.g., wind, solar) to enhance planning, integration, and grid management.
  • Collaborate with cross-functional teams to ensure data-driven solutions are integrated with our renewable energy and sustainability initiatives.
  • Analyze data trends to identify and recommend energy efficiency improvements and potential optimization opportunities.
  • Communicate findings and recommendations to stakeholders through clear, data-focused reports and presentations.
  • Stay informed on clean energy trends, regulatory developments, and advancements in data science relevant to renewable energy.
Requirements:
  • Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, or a related field (Ph.D. preferred).
  • Minimum of 10 years of experience in data science, with substantial experience in the clean energy sector.
  • Proficient in predictive modeling, machine learning algorithms, and statistical analysis.
  • Experience with energy-related data sources, such as SCADA systems, IoT for energy, and smart grid technologies.
  • Expertise in Python, R, SQL, and data visualization tools (e.g., Tableau, Power BI).
  • Knowledge of renewable energy forecasting and meteorological data analysis.
  • Strong problem-solving skills, with the ability to interpret complex data and translate it into actionable insights for sustainable energy solutions.
  • Excellent communication skills for presenting technical information to both technical and non-technical stakeholders.
Preferred Skills:
  • Experience with cloud computing platforms (AWS, Azure, GCP) for handling large-scale data analysis.
  • Familiarity with clean energy industry standards and regulatory requirements.
  • Experience deploying machine learning models in production environments.
As a Senior Data Scientist in the clean energy sector, you will have the unique opportunity to contribute to a sustainable future by leveraging data science to advance renewable energy and efficiency. Join us to help shape the next generation of energy solutions that prioritize environmental responsibility, grid reliability, and impactful data insights.


 

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