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