Senior Data Scientist

Kiavi is seeking a Senior Data Scientist to develop and apply machine learning and AI across products and business problems. The role spans the machine learning lifecycle, from problem framing and model development to evaluation and production deployment, while building reusable AI capabilities for regulated financial services.

Responsibilities:

• Identify high-impact opportunities for machine learning and AI in partnership with product, engineering, operations, and business teams
• Design, train, fine-tune, and evaluate machine learning and deep-learning models
• Work with foundation models across language, vision, and multimodal applications
• Develop robust datasets, features, training pipelines, and evaluation frameworks
• Run efficient experiments on GPU infrastructure and improve model quality, speed, and cost
• Compare alternative modeling approaches and make clear recommendations based on empirical results and business impact
• Build reusable modeling components, evaluation frameworks, and implementation patterns that accelerate work across teams and projects
• Establish clear interfaces and standards that allow other teams to adopt proven AI capabilities without rebuilding the underlying modeling work
• Build models and supporting systems that are reproducible, testable, and suitable for production use
• Partner with ML and software engineers on deployment, monitoring, reliability, and ongoing model improvement
• Communicate results, limitations, and tradeoffs clearly to both technical and non-technical stakeholders
• Stay current with advances in machine learning and determine when emerging techniques are mature enough to create practical value