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.MissionDevelop Marketing Science solutions in the area of Media EffectivenessSupport product development during concept testing, scaling and productionTransform proofs‑of‑concepts into scalable, production‑ready codeResponsibilitiesDevelop, implement, and standardize Marketing Science solutions in proofs‑of‑concept and prototypesContinuously 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 techniquesBuild analytical pipelines at scale using cloud services, containerized applications, and distributed systemsIdentify best practices and create continuous improvement of tools and methodsCollaborate closely with Product Owners, Modelers, Marketing Scientists, and Front‑End EngineersQualificationsBachelor or Master degree that reflects strong statistical/mathematical/computer science skillsStrong expertise in Python – at least 3 years of developmentUnderstanding of RExperience in predictive statistical modeling and causal inferenceAbility to manage code deployments (experience with GIT)Basic understanding of Dockerization – building and managing Docker imagesExperience with creating, managing, and/or maintaining code documentationSolid skills concerning performance optimization and scalability (e.G., parallelization, code optimization, functions as a service)Experience with cloud services such as Azure or AWSAbility to present and explain complex concepts to less experienced colleaguesFamiliarity with Kubernetes and Airflow is a plusSoft SkillsStrong analytical and problem‑solving skillsAbility to work independentlyPronounced attention to detail – ensure all outputs are delivered professionally and accuratelyGood interpersonal skills – treat others with respect, be cooperative, friendly, and considerate of others; be a good role model, help build teamwork and team spiritWell‑organized and versátil, and demonstrates self‑confidence, decisiveness, and commitmentAbility to work alone without constant support, and well organizedEase of communication in an English‑speaking business environmentSalary€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 BenefitsFlexible working environmentVolunteer time offLinked In LearningEmployee‑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: NIQNIQ 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 Gf K, 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 InclusionAt 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

📌 Ml Engineer (Madrid)
🏢 NielsenIQ
📍 Madrid