Role OverviewWe 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 complianceRequirementsBachelor'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
Public work matters more than titles: a GitHub or portfolio the hiring manager can click through in under a minute usually beats an extra bullet on your CV.
Name the exact stack in your CV so a keyword screener + a skim-reader both find it — languages, frameworks, cloud, databases.
For interviews: expect a technical screen (coding or system design) before the on-site loop. Practice explaining trade-offs out loud, not just writing correct code.
For English-only teams verify your written English is sharp — most Egypt-based tech scaleups run interview loops entirely in English.
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