Data Scientist

3 years

0 Lacs

Posted:1 month ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

Job Title: Data Scientist – Renewable Energy Location: Gurugram Experience Required: 1–3 years Preferred Educational Background: Tier 1 Engineering Colleges 𝐂𝐨𝐧𝐧𝐞𝐜𝐭 7976457434 𝐬𝐮𝐫𝐞𝐬𝐡.𝐛@𝐬𝐲𝐧𝐚𝐩𝐨𝐧𝐞.𝐜𝐨𝐦 About the Role We are seeking a passionate and skilled Data Scientist to join our team in driving data-led innovation within the renewable energy sector . The selected candidate will play a pivotal role in developing advanced forecasting models, automating data workflows, building scalable data pipelines, and utilizing Generative AI to enhance decision-making and operational efficiency. Key Responsibilities Develop and deploy machine learning models for power generation forecasting, asset performance prediction, and anomaly detection Build and maintain automation scripts for data extraction, transformation, and reporting using Python, Selenium, and web scraping tools Design, develop, and integrate REST APIs to enable seamless data flow across internal and external systems Deliver end-to-end data science solutions , from requirement gathering and PRD creation to model deployment and performance monitoring Leverage Generative AI for report generation, development of chatbot interfaces, and document summarization Collaborate with domain experts and stakeholders to identify high-impact use cases and convert them into actionable data science initiatives Monitor, evaluate, and fine-tune model performance and maintain technical documentation Work with large, complex datasets from SCADA systems , energy meters, weather data sources, and market exchanges Key Skills Required Strong programming skills in Python with hands-on experience using libraries such as Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch Proficiency in Machine Learning and Time-Series Forecasting methods Practical experience with web scraping tools like Selenium and BeautifulSoup Sound understanding of API development and integration best practices Experience in developing and maintaining automated data pipelines ; familiarity with Git and basic DevOps tools Excellent analytical and problem-solving abilities, with strong communication skills to articulate technical concepts to non-technical audiences Preferred Qualifications B.Tech/B.E. from a recognized Tier 1 engineering institution 1–3 years of hands-on experience in data science, machine learning, or analytics roles Exposure to or a strong interest in the renewable energy domain—solar, wind, grid operations, or energy trading Familiarity with dashboarding tools such as Power BI or Tableau (preferred, not mandatory) Show more Show less

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