Renewable Energy Data Analyst

2 weeks ago

Gurgaon, Haryana, India beBeeRenewable Full time ₹ 12,00,000 - ₹ 15,00,000
Junior Data Scientist

Zelestra is a multinational company fully focused on multi-technology renewables with a vertically integrated business model. We are committed to developing tailored-made solutions by analyzing power market challenges and co-creating structured products based on customer insights.

Our mission is to contribute to a fairer and more equitable society through innovative digital solutions and quality employment opportunities.

Job Role

We are looking for a motivated Junior Data Scientist to join our dynamic team, working on developing advanced Asset Performance Management solutions for solar plants and wind farms.

The ideal candidate will have hands-on experience in building time-series forecasting models, particularly in the context of renewable energy.

You will work closely with our data scientists and engineers to deploy data-driven solutions, focusing on asset performance optimization, cloud tracking using image data, and leveraging large language models (LLM) for innovative solutions.

Key Responsibilities

  • Develop and deploy time-series models for solar and wind energy forecasting;
  • Build asset performance models to predict equipment health and maintenance;
  • Collaborate with senior scientists to enhance model accuracy;
  • Use large language models for asset management solutions;
  • Create visualization models from satellite/drone imagery to optimize solar plant performance;
  • Develop clear visualizations and dashboards to communicate insights and track renewable energy asset metrics;
  • Handle large IoT datasets from renewable assets stored on cloud platforms;
  • Maintain version control with Git/GitHub;
  • Work with engineers to deploy models on cloud infrastructure; and
  • Establish monitoring pipelines for ongoing model performance and updates.

Requirements

  • 1-2 years as a data scientist or related role, preferably with time-series modeling experience;
  • Practical skills in Python, R, or similar programming languages;
  • Proficient in building and deploying time-series forecasting models;
  • Experienced with data visualization tools such as Power BI, Tableau, or equivalent;
  • Familiar with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn;
  • Skilled in Git and version control for collaborative projects;
  • Experience with cloud platforms like AWS and Azure for data storage and processing;
  • Knowledge of cloud data lakes/data warehouses (AWS S3, Azure Blob Storage); and
  • Ability to collaborate effectively with cross-functional teams, including engineers and data scientists.

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