Role Overview We are looking for a Data Scientist to transform raw industrial data into actionable insights and develop predictive models that address real-world energy and operational challenges. You will bridge advanced analytics and practical business impact by turning complex data into strategic decisions. Key Responsibilities Collect, clean, and preprocess structured and unstructured data from multiple sources Perform exploratory data analysis (EDA) to identify trends, correlations, and anomalies Develop, validate, and deploy machine learning and predictive models Design and maintain scalable data pipelines and automation workflows Translate business problems into analytical and statistical solutions Collaborate with engineering, product, operations, and leadership teams Present insights through dashboards, reports, and data visualizations Monitor model performance and continuously optimize algorithms Ensure data quality, integrity, governance, and security compliance Annual bonus Health insurance and wellness programs Professional development and training opportunities Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field 2+ years of experience in data science, analytics, or machine learning roles Strong programming skills in Python (preferred) or R Proficiency in SQL and working with relational databases Experience with machine learning frameworks (Scikit-learn, TensorFlow, PyTorch) Solid understanding of statistics and probability Experience with data visualization tools (Power BI, Tableau, Matplotlib, etc.) Familiarity with cloud platforms (AWS, Azure, or GCP) Knowledge of big data tools such as Spark or Hadoop Understanding of MLOps concepts and model deployment workflows Strong analytical thinking and problem-solving abilities Excellent communication and collaboration skills