Description: * Bachelor's degree in Statistics, Engineering, Data Science, Computer Science, or related fields; * Minimum 3–4 years of experience in Analytics and Machine Learning projects; * Proficiency in Python, R, and SQL; * Advanced knowledge of ML frameworks (scikit-learn, TensorFlow, PyTorch, XGBoost); * Experience with Big Data technologies (Hadoop, Spark, Hive, Kafka); * Hands-on experience with cloud computing platforms (AWS, GCP, Azure ML, SageMaker, BigQuery, Vertex AI); * Knowledge of Docker, Kubernetes, Airflow, MLflow, and Git; * Experience with Power BI and data visualization; * Strong foundation in statistics, regression, inference, and mathematical modeling; * Excellent communication skills, analytical mindset, and ability to translate data into business value. * Develop and deploy predictive and machine learning models across various business domains; * Conduct exploratory and statistical analyses, transforming complex data into actionable insights; * Build and optimize data and model pipelines in Big Data environments; * Apply MLOps and DataOps tools for model automation and versioning; * Create analytical dashboards and reports in Power BI to support decision-making; * Implement and monitor cloud-based solutions (AWS, GCP, and Azure); * Communicate results clearly using data storytelling for both technical and executive audiences. 2512310202491836487