Senior Data Scientist – Clean Energy Sector

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SENIOR DATA SCIENTIST- CLEAN ENERGY SECTOR


Position Summary:
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.

Job 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.