About the job
As a Lead Data Scientist, you will:
- Guide, inspire, and empower a data science team of up to 10 individuals while establishing the technical direction and standards.
- Engage collaboratively within a diverse digital team, partnering with experts in Product Management, Engineering, and Design.
- Serve as the crucial link between business challenges and data science solutions, transforming opportunities into impactful, production-ready models.
- Apply your analytical prowess to design, build, and validate machine learning solutions, focusing on tree-based methods (e.g., XGBoost, GBM, LightGBM), neural networks, and transformer-based techniques.
- Oversee the complete lifecycle of data products in an agile environment, from defining problems and experimenting to deployment and monitoring.
- Conduct in-depth analyses, including business case development, to prioritize use cases and effectively communicate trade-offs and expected value to stakeholders.
- Collaborate closely with data and platform engineers on ETL pipelines, containerized solutions (e.g., Docker, Kubernetes), and cloud environments (e.g., GCP, AWS, Azure), gaining exposure to modern data platforms such as Snowflake and Databricks.
- Participate in cross-functional Agile teams (Engineering, Product, Design, QA) in both remote and on-site settings, applying suitable governance and engagement models to data projects.
- Provide ongoing support for existing models and data products, while proactively managing demand, prioritization, and stakeholder expectations to create space for strategic, high-impact data science initiatives.