NielsenIQ is hiring a ML Engineer

We're looking for a ML Engineer to help shape the machine learning core of our Marketing Effectiveness platform a globally scaled software application used by enterprise marketers to measure, forecast, and optimize media spend across channels, geographies, and business units. You'll join a team of ML engineers building the statistical and machine learning systems that power lower funnel marketing channel attribution for some of the world's largest advertisers. This is a high-leverage role: your models directly shape how billions of dollars in marketing investment get deployed. You will be joining an innovation & client first culture, where creative thinking and entrepreneurial spirit are championed, fostered, and harnessed into the next-gen features of our evolving marketing analytics platform. Mission - Develop Marketing Science solutions in the area of Media Effectiveness - Support product development during concept testing, scaling and production - Transform proofs-of-concepts into scalable, production-ready code Responsibilities - Develop, implement and standardize Marketing Science solutions in proofs-of-concept and prototypes - Continuously improve the efficiency of our Marketing Science products (e.g. ensure quality by adherence to coding guidelines, documentation and reproducibility) - Optimize our Marketing Science models using code optimization, high-performance computing and real-time techniques - Build analytical pipelines at scale using cloud services, containerized applications and distributed systems - Identify best practices and create continuous improvement of tools and methods - Collaborate closely with Product Owners, Modelers, Marketing Scientists and Front-End Engineers