Company Description
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.
Job Description
Mission
- Develop Marketing Science solutions in the area of Media Effectiveness
- Support product development during concept testing, scaling and production
- Transform proofs-of-concept 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) statist
📌 ML Engineer (España)
🏢 Nabla
📍 España