Job Description

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

Requirements

• 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

Benefits

• Annual bonus
• Health insurance and wellness programs
• Professional development and training opportunities