Senior Data Scientist

This role involves several key responsibilities and requirements:

• Partnering with Product, Engineering, and other stakeholders to translate ambiguous business challenges into well-defined data science problems.
• Owning the end-to-end lifecycle of data science models, from data exploration and feature engineering to deployment, monitoring, and continuous improvement in production.
• Developing robust, scalable, and efficient models, thoughtfully balancing algorithmic complexity against interpretability, business needs, and delivery timelines.
• Experience working with messy, real-world financial data (e.g., bank transaction streams, financial statements, credit reports)
• The ability to communicate and present complex technical topics and results to various audiences Passion for understanding the “why” of the problem and the impact of solutions on client outcomes