Job Summary: We are seeking a professional with advanced expertise in data analysis, feature engineering, and artificial intelligence model design, with experience in Big Data environments. Key Highlights: 1. Experience in exploratory analysis and cleaning of large volumes of data. 2. Proficiency in feature engineering and AI model design. 3. Mastery of Python, notebook environments, and distributed processing with Spark. ESSENTIAL REQUIREMENTS: Knowledge: Exploratory analysis, processing, cleaning, and validation of large volumes of historical data, including outlier detection, handling missing values, and data quality assessment. Feature engineering, including derivation of new variables, data normalization, and encoding of temporal and categorical variables. Design, training, validation, and evaluation of artificial intelligence models, especially neural networks and optimization models. Advanced programming in Python for data analysis and AI model development. Use of notebook-based analytics environments (Jupyter / Databricks). Proficiency in Big Data environments and distributed processing using Apache Spark and PySpark, particularly on cloud platforms such as Azure Databricks. Advanced data and results visualization. Knowledge of Databricks (desirable). Knowledge of the Knitro optimization solver (desirable). Experience: [no minimum, 1–3 years of experience] DESIRABLE REQUIREMENTS: Desirable certifications: Machine Learning certifications from AWS or Azure. REQUIRED DEGREE: Education: Engineering (Computer Engineering, Industrial Engineering, Telecommunications Engineering, or related engineering disciplines). Mathematics. Statistics. Physics. Data Science, Artificial Intelligence, or equivalent scientific–technical degrees. A Master’s degree in Data Science or a related field is desirable.