Junior Data Scientist Job in Gurgaon at Zelestra

Responsibilities of the Candidate:

• Build, test, and deploy time-series models for solar and wind energy forecasting; develop 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 (using tools like Amazon QuickSight and PowerBI) to communicate insights and track renewable energy asset metrics.
• Handle large IoT datasets from renewable assets stored on cloud platforms (AWS S3, Azure Blob); maintain version control with Git/GitHub.
• Work with engineers to deploy models on cloud infrastructure (AWS, Azure); establish monitoring pipelines for ongoing model performance and updates.

Requirements:

• 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).
• Ability to collaborate effectively with cross-functional teams, including engineers and data scientists.