The Ksquare Group seeks a Data Scientist to design, develop, validate, and deliver data-driven solutions to complex business challenges. This role requires strong Python development skills, advanced statistical knowledge, and hands-on experience building and evaluating machine learning models.

The idóneo candidate combines rigorous analytical thinking with software engineering best practices, ensuring that models and analytical solutions are reliable, maintainable, well-documented, and suitable for production environments. They should also demonstrate sound judgment when evaluating emerging AI technologies and determining when machine learning, generative AI, or agent-based systems are appropriate for a given problem.

Key Responsibilities:
• Design, develop, and implement machine learning models to solve business problems using Python as the primary development language.
• Perform advanced data exploration, preparation, transformation, and feature engineering using large and complex datasets.
• Apply statistical methods, experimental design, hypothesis testing,



and causal inference techniques to support data-driven decision-making.
• Develop and evaluate predictive models using appropriate algorithms and libraries, including Scikit-learn, XGBoost, LightGBM, and Statsmodels.
• Apply deep learning techniques using TensorFlow or PyTorch when justified by the problem and business requirements.
• Validate model performance beyond traditional accuracy metrics, incorporating business impact, bias assessment, and performance across different subgroups.
• Work with large-scale data using advanced SQL and PySpark for data exploration and transformation.
• Access and manage data stored in cloud environments, including Google Cloud Storage (GCS) and Azure Blob Storage.
• Develop clean, modular, reusable, and maintainable Python code following established software development standards.
• Use Git for version control and collaborate with cross-functional teams through structured

📌 Data Scientist (México)
🏢 The Ksquare Group
📍 México