ML Engineer

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-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 of 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 accurate Good interpersonal skills – treat others with respect, be cooperative, friendly and considerate of others. Be a good role model, help to build teamwork and team spirit Well-organized and flexible, and demonstrate self-confidence, decisiveness and commitment Ability to work alone without constant support, and well organized Ease of communication in an English-speaking business environment 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. Additional Information 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 were permitted by law, 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