Job Description:
8+ years in Data Science, ML, or Applied Analytics.
Robust Python, SQL, Statistics, and Machine Learning.
Experience in forecasting, anomaly detection, optimization, and time-series modelling.
Production ML deployment and MLOps (monitoring, retraining, model versioning).
Experience with APIs, containers, and cloud platforms.
Knowledge of model evaluation, explainability, and responsible AI.
Technical leadership, team management, and stakeholder communication.
Bachelor's/Master's degree in a relevant field.