Master’s degree or foreign equivalent in Data Science and Business Analytics, Computer Science, Industrial Engineering, or a related field and 4 years of experience in the job offered or a related occupation. 4 years of experience with each of the following skills is required: 1. Programming languages such as Python and SQL skills. 2. Data science libraries and frameworks (Scikit-learn, XGBoost, TensorFlow or PyTorch, Pandas). 3. Advanced statistical modeling, machine learning techniques (regression, classification, forecasting, causal inference). 4. Cloud platforms ( Google Cloud Platform, AWS, Azure), including building data processing pipelines (Spark, Dataflow) and utilizing managed machine learning services. 5. A/B testing design, implementation, and analysis, as well as experimental design methodologies. 6. MLOps practices, including model deployment, versioning, and automated monitoring in production environments. 3 years of experience with each of the following skills is required: 1. GenAI and machine learning.
