Mid-level Data Scientist

This role is a foundational member of the new Applied Measurement team, focusing on scaling incrementality and measurement products directly with customers. The Data Scientist will work at the intersection of data science, causal inference, and predictive modeling, partnering with clients to explain statistical methodology and diagnose measurement issues. The ideal candidate has 2+ years of production data science experience, strong statistical foundations, and excellent communication skills for translating complex results into actionable recommendations.

This role develops predictive models and algorithms to understand consumer behavior and drive revenue for enterprise clients. It collaborates with engineering and product teams to integrate models into the platform and deliver actionable insights.

This role focuses on analyzing complex datasets to extract actionable insights and build predictive models. The data scientist will apply statistical and machine learning techniques to support business decisions and drive data-driven strategies.

Build models that support real decisions and turn data into actionable insights across analytics, AI, and business use cases. Emphasize impact and clarity over experimentation and complexity.

This Application Support Engineer role provides technical support for software applications, troubleshooting issues, and ensuring system uptime. The engineer will work with clients and internal teams to resolve incidents and improve application performance.

This analyst position supports client managed services within Nasdaq's Business Services, performing data analysis, reporting, and operational tasks to ensure smooth service delivery. The role requires strong analytical skills and attention to detail to support client-facing operations.

This role manages client service delivery, ensuring high-quality support and operational excellence. It involves handling client escalations, monitoring service levels, and improving delivery processes.