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.

La descripción completa del puesto cubre todas las habilidades asociadas, la experiencia previa y cualquier cualificación que se espera que tengan los solicitantes.
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

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- 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

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- 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

Qualifications

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- Bachelor or Master degree that reflects strong statistical/mathematical/compu

📌 ML Engineer (Madrid)
🏢 NielsenIQ
📍 Madrid