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

Ability to manage code deployments (experience with GIT)

Basic understanding of Dockerization – building and managing Docker images





Experience with creating, managing, and/or maintaining code documentation

Solid skills concerning performance optimization and scalability (e.g., parallelization, code optimization, functions as a service)

Experience with cloud services such as Azure or AWS

Ability to present and explain complex concepts to less experienced colleagues

Familiarity with Kubernetes and Airflow is a plus

Soft Skills

Strong analytical and problem‑solving skills

Ability to work independently

Pronounced attention to detail – ensure all outputs are delivered professionally and accurately

Good interpersonal skills – treat others with respect, be cooperative, friendly, and considerate of others; be a good role model, help build teamwork and team spirit

Well‑organized and flexible, and demonstrates self‑confidence, decisiveness, and commitment

Ability to work alone without constant support, and well organized

Ease of communication in an English‑speaking business environment

Salary €38,400 – €54,700 gross per year. Placement within the range will depend on objective criteria including experience, skills, and internal equity considerations. We are committed to equal pay and pay transparency. Remuneration decisions are made using gender‑neutral and objective criteria.

Our Benefits

Flexible working environment

Volunteer time off

LinkedIn Learning

Employee‑Assistance‑Program (EAP)

NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows.



These tools are intended to improve efficiency and support fair and consistent evaluation based on job‑related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/.

About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state‑of‑the‑art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit https://nielseniq.com/integral/en/news-center/diversity-inclusion.

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📌 ML Engineer (Madrid)
🏢 NielsenIQ
📍 Madrid