10+ years of experience in data science, with at least 3–5 years in a
leadership role.
Proven experience deploying scalable machine learning solutions in a
production environment.
Expertise in Python, R, SQL, and common ML libraries (scikit-learn,
TensorFlow, PyTorch, XGBoost, etc.).
Strong understanding of MLOps, data engineering, and cloud platforms
(AWS, GCP, Azure).