3 engineer jobs found in New York, NY

Overview Major League Soccer has built Fan Genome, a 360° fan intelligence platform unifying demographic, behavioral, transactional, and engagement data across the league. MLS operates a modern cloud-native Lakehouse architecture built on medallion design, decoupled storage and compute, and distributed processing at scale. We are seeking a Director of Analytics Engineering & BI Platform to lead the analytics engineering function and fully enable the BI organization on top of this existing foundation. This role focuses on curating scalable data products, standardizing enterprise metrics, strengthening semantic governance, and ensuring BI and AI use cases are supported by trusted, high-performance datasets. Responsibilities Lakehouse Enablement and Analytics Integration Leverage MLS’s existing Lakehouse architecture across bronze, silver, and gold layers to deliver scalable analytics and BI-ready data products. Define modeling, transformation,...

Overview Major League Soccer has built Fan Genome, a 360° fan intelligence platform that unifies demographic, behavioral, transactional, and engagement data across the league. Fan Genome is evolving from a data platform into an AI-native intelligence foundation that enables semantic understanding, real-time fan context, and autonomous data-driven reasoning.   We are seeking a Senior Director, AI Data Architect to own the technical architecture and evolution of MLS’s next-generation data and intelligence platform. This is a deeply technical and hands-on leadership role focused on building the foundations for knowledge graphs, semantic layers, and context engineering that power AI systems, autonomous agents, and advanced fan intelligence at scale.   This role is oriented toward the next generation of data and intelligence platforms, emphasizing semantic understanding, contextual modeling, and AI-driven capabilities. Responsibilities Platform...

Overview Major League Soccer’s Strategy and Business Intelligence group is tasked with supporting strategic decision making and resource allocation across the League – with a focus on driving fan growth, revenue capture, and operating efficiencies – by providing impactful data driven insights, analysis, and recommendations.    This individual contributor position requires a curious, analytical, and collaborative mindset — someone who brings structure to complexity and thrives at the intersection of data science and marketing impact.   This role applies advanced analytics and modeling to fan and marketing data — including the League’s Fan Genome — to uncover engagement trends, build predictive attributes, and inform marketing strategy across League and Club initiatives.   The ideal candidate is a hands-on data scientist with a strong understanding of marketing performance, audience segmentation, and...