Senior Data Scientist

Design and deliver end-to-end analytics and machine learning solutions, spanning problem framing, data preparation, feature engineering, modeling, validation, and performance monitoring.
Prototype Generative AI and LLM use cases, including prompt engineering and retrieval augmented generation, with governance and privacy considerations.
Write clean, well-documented code and participate in peer reviews to ensure quality and reproducibility of notebooks, pipelines, and models.
Translate business questions into scalable analytical approaches and collaborate with product and business stakeholders to deliver value.
Prototype, validate, and productionize GenAI prototypes, integrating them into production environments with cross-functional teams (data engineering, platform, risk).
Operate in a hybrid setup, prioritizing strong communication, delivery discipline, and continuous improvement across the analytics lifecycle.