Assistant Vice President Data Science

About the role

As an Assistant Vice President Data Science you will design, build, and productionize advanced analytics and AI solutions that deliver measurable business value, working closely with data product owners, analysts and engineers.

Key responsibilities

• Translate business problems into data science projects with clear hypotheses, success metrics, and validation methods.
• Explore, clean, and transform structured and unstructured data using Python and SQL.
• Design, train, and evaluate machine learning models (regression, classification, clustering, NLP, forecasting).
• Collaborate with engineering and platform teams to productionize models via reproducible pipelines and CI/CD workflows.
• Apply model explainability, fairness, and governance techniques and support AI governance activities.

Required profile

• Minimum 6 years of experience in data science, applied machine learning or advanced analytics, with proven model deployment.
• Experience working in agile, cross‑functional teams with product owners, data analysts and engineers.
• Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering or related field; Master’s degree is a plus.

Required skills

• Python (pandas, NumPy, scikit-learn, XGBoost, LightGBM)
• SQL for data extraction and transformation
• Databricks or equivalent data/ML platform
• Deep learning frameworks such as PyTorch and TensorFlow
• ML lifecycle tools (MLflow, Airflow, Docker, Kubernetes)
• Model explainability tools (SHAP, LIME, feature importance)
• Cloud platforms (Azure, Snowflake) and APIs for AI integration
• Version control with Git/GitHub