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

Qualifications
- Bachelor or Master degree that reflects strong statistical/mathematical/computer science skills
- Strong expertise in Python – at least 3 years of development
- Understanding of R
- Experience in predictive statistical modeling and causal inference
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📌 ML Engineer (Madrid)
🏢 NielsenIQ
📍 Madrid