LI-Hybrid

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
- 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
- Ability

📌 ML Engineer (Mendoza)
🏢 Nielseniq
📍 Mendoza