Job Description NielsenIQ is a consumer intelligence company that delivers the Full View™, the world’s most complete and clear understanding of consumer buying behavior that reveals new pathways to growth. Since 1923, NIQ has moved measurement forward for industries and economies across the globe. We are putting the brightest and most dedicated minds together to accelerate progress. Our diversity brings out the best in each other so we can leave a lasting legacy on the work that we do and the people that we do it with. NielsenIQ offers a range of products and services that leverage Machine Learning and Artificial Intelligence to provide insights into consumer behavior and market trends. This position opens the opportunity to apply the latest state of the art in AI/ML and data science to global and key strategic projects. What You'll Do As a Data Scientist, you will play a key role in developing end-to-end analytic solutions, shaping data and algorithms to deliver accurate and robust Predictive and Prescriptive Analytics. At NIQ, we’re looking for someone to join our Tech & Durable Data Science team, working at the intersection of business, data science and engineering to transform business problems into robust, production-ready Data Science solutions. Your Mission: Build scalable, production-ready data science solutions that enable the use of or directly utilize NIQ's T&D Point-of-Sale data. Collaborate cross-functionally with product managers, engineers, designers and business stakeholders to translate complex problems into actionable insights. Contribute to the evolution of our data science ecosystem through innovation, mentorship, and thought leadership. Responsibilities: Create product driven Data Science solutions for our T&D business. Build and implement ML models that are documented, reproducible, and follow coding guidelines. Create and improve methods and tools and contribute to best practices in Data Science Foster Data Science related knowledge exchange within NIQ (e.g. Lunch & Learns, Communities of Practice) Be a methodological referent for more junior colleagues and working students What We're Looking for Essential Skills: Degree in computer science, data science, statistics, or a related field 3 year experience in a Data Science role Strong statistical skills. Either in survey statistics (sampling, non-response adjustments, Bayesian statistics), econometric modeling (program evaluation, forecasting, economic theory, panel data), or causal inference Strong knowledge of optimization and / or machine learning algorithms Solid knowledge of deep learning algorithms and/or Large Language Models Solid knowledge of Python and the respective development tools (e.g. Jupyter, PyCharm, VSCode) Ability to think creatively in addressing analytical objectives Ability to fluidly communicate in an English business environment Desirable Skills: Solid experience and working knowledge of the constantly evolving Data Science ecosystem and popular machine learning frameworks Experience with common software engineering practices and framework (version control, testing, agile development, Scrum, Safe) Experience with cloud computing environments (e.g. GCP) and productionizing machine learning models (e.g. expose as REST API, containerization, scalability, performance optimization)