descripción del trabajo

Machine Learning Engineer - Media EffectivenessFull-timeJoin our team and play a pivotal role in developing Marketing Science solutions across various domains including marketing effectiveness, brand management, and pricing research. As a key member of our team, you will support product development through concept testing phases, scaling, and production. Additionally, you will be responsible for transforming proofs-of-concept into scalable, production-ready code, contributing to the growth and success of our projects. If you're ready to make an impact and drive innovation in the world of marketing analytics, we encourage you to apply!Responsibilities:Develop, implement and standardize marketing science solutions in proofs-of-concept and prototypesContinuously improve the efficiency of the marketing science products (e.g. ensure quality by adherence to coding guidelines, documentation and reproducibility)Optimize 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 methodsClosely collaborate with Product Owners, Modellers, Marketing Scientists and Front End Software EngineersQualifications:Bachelor or Master degree that reflects strong statistical/mathematical / computer science skillsTypically 2+ years of relevant work experienceSolid knowledge of analytic programming languages (R and Python are a must have) and the respective Machine Learning / Statistical Modeling ecosystemSolid knowledge of optimization and/or machine learning algorithms and/or deep learning algorithmsSolid knowledge of computer science fundamentals, software design principles and patterns, patterns and testing strategiesBasic skills with regard to working in (big) database environments (e.g. RDBMS, Spark, Hadoop)Solid skills with SQLSolid skills concerning performance optimization and scalability (e.g., parallelization, code optimization, functions as a service)Solid statistical skills and knowledge of econometric techniques,either in survey statistics (sampling, non-response adjustments, Bayesian statistics),or econometric modelling (program evaluation, forecasting, economic theory, panel data),or observational causal inference (potential outcomes, structural equation models, instrumental variables)or experimental design.Basic understanding of Dockerization and Kubernetes/docker-composeSolid skills in REST-API/GraphQL with the ability to deploy servicesSoft Skills:Mathematical thinking, strong analytical and problem-solving skillsGood attention to detail – ensure all outputs are delivered professionally and accurateGood interpersonal skills – treat others with respect, be cooperative, friendly and considerate of others. Be a good role model, help to build teamwork and team spiritBe well-organised and flexible, and demonstrate self-confidence, decisiveness and commitmentGood experience with agile development practicesEase of communication in an English-speaking business environmentCulture: flat, open and informal organization. Our NielsenIQ Values are to be Open, Connected, Personal and Useful. Our people are our greatest asset, and we look for like-minded, positive, and awesome people to join our team.We offer a competitive salary that includes life insurance, meal vouchers, and hybrid work system.Development: we encourage growth and promote internal mobility so that you can further develop in our Department or somewhere else in the company.About 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 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. For more information, visit NIQ.com.Want to keep up with our latest updates?Our commitment to Diversity, Equity, and InclusionNIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us.We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide.NIQ or any of our subsidiaries will never ask you for money at any point of the recruitment or onboarding process. #J-18808-Ljbffr