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Data Scientist

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

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