We are seeking a Data Scientist to join our Data Enrichment team focused on improving data quality, operational efficiency, and business decision-making within a large-scale commercial data repository. This role blends hands-on modeling, technical leadership, and cross-functional collaboration to drive measurable improvements in data assets and business processes.

Reporting to the Manager of Data Analytics, you will play a key leadership role in designing, developing, and deploying machine learning and GenAI-driven solutions that enhance data quality, automation, and insight generation across commercial financial services data domains.

Responsibilities:

Design and deploy scalable machine learning solutions to improve data quality, matching, classification, and automation.
Apply advanced analytics and generative AI to enhance data enrichment and ongoing data maintenance.
Drive analytical projects from problem definition through deployment and ongoing monitoring, in partnership with cross‑functional teams.
Establish and follow best practices for model governance, testing, documentation, and performance tracking.
Build and maintain reliable data pipelines and feature workflows using distributed data technologies.
Develop production‑ready SQL to integrate and transform structured and semi‑structured data.
Create reusable tools and components to streamline data processing, scoring, and monitoring.
Define and track key metrics to measure model effectiveness and operational improvement.
Partner across Data Governance, Technology, Product, and Operations to address data quality and process opportunities.
Communicate insights through clear storytelling, visuals, and executive‑ready presentations.
Maintain strong standards for code quality, experimentation, and documentation, with a focus on collaboration and continuous improvement.
Stay informed on advances in machine learning, generative AI, and cloud technologies.

Data Scientist (Remote)