3 of 3 Permanent Decision Science Jobs in Hounslow

teams across all three propositions, own and prioritize the backlog, and drive delivery in close partnership with Engineering (platform instrumentation) and Decision Science (data pipelines and attributes). A core operating principle for this role: solutions must be designed globally first, scalable across all applications, not built … engineering capacity. Keep documentation and roadmap status visible and current across all partners. Platform Delivery & Cross-Functional Execution Partner closely with Decision Science and Engineering teams to define business requirements for platform instrumentation (e.g., event schemas, platform events, and data capture), ensuring alignment with global standards ...

organization across our global streaming portfolio. We are seeking a Director of Global Product Analytics who thrives at the intersection of product analytics, data science, product development, and business strategy. The ideal candidate brings strong technical and analytical depth, a product mindset, and a track record of informing strategy … shared data-driven strategy and translate insights into actionable decisions across the entire product lifecycle. They will partner with data and decision science teams across markets to share best practices and strengthen data modeling, instrumentation, analytics frameworks, experimentation quality, and self-service analytics tooling. They will advance ...

organization across our global streaming portfolio. We are seeking a Director of Global Product Analytics who thrives at the intersection of product analytics, data science, product development, and business strategy. The ideal candidate brings strong technical and analytical depth, a product mindset, anda track recordof informing strategy and influencing … shared data-driven strategy and translate insights into actionable decisions across the entire product lifecycle. They will partner with data and decision science teams across markets to share best practices and strengthen data modeling, instrumentation, analytics frameworks, experimentation quality, and self-service analytics tooling. They will advance ...