Data Science Manager

Key Responsibilities:
- Lead and mentor a team of data scientists and analysts, setting technical direction and reviewing model deliverables
- Partner with business stakeholders to identify high-impact use cases for machine learning and advanced analytics
- Oversee the end-to-end data science lifecycle including data exploration, feature engineering, model development, and validation
- Review and guide model selection, evaluation metrics, and experimentation approaches for the team
- Drive deployment of machine learning models into production in collaboration with data engineering and MLOps teams
- Ensure model performance monitoring, retraining strategies, and governance practices are in place post-deployment
- Present data science findings, model outcomes, and business impact to senior leadership and stakeholders
- Establish best practices for reproducibility, documentation, and code quality across the data science team
- Manage project prioritization, timelines, and resource allocation across multiple data science initiatives
- Stay current with emerging data science techniques and evaluate their applicability to business problems