Company DescriptionNielsenIQ 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.Job DescriptionWe are looking for a Research Scientist with a data-centric mindset to join our applied research and innovation team. The ideal candidate will have a strong background in machine learning, deep learning, language models, GenAI and process automation. You will be responsible for analyzing data, researching the most appropriate techniques, and the development, testing, support and delivery of proof of concepts to resolve real-world and large-scale challenging problems.Develop and apply machine learning innovations by collaborating with other team members and company stakeholders.Understand the requirements and be able to communicate results and conclusions in a way that is accurate, clear and winsome.Perform feasibility studies and analyse data to determine the most appropriate solution.Work on many different data challenges, always ensuring a combination of simplicity, scalability, reproducibility and maintainability within the ML solutions and source code.Ensure both data and software are developed and maintained with high-quality standards and minimal defects.Collaborate with other technical fellows on the integration and deployment of ML solutions.Work as a member of a team, encouraging team building, motivation and cultivating effective team relations.QualificationsPhD/Masters in a specific area of AI/ML with scientific soundness and published papers.Able to understand scientific papers and develop the idea into executable code.Hands-on expertise in Machine Learning, NLP, LMs, GenAI, signal processing and data science.Previous experience with key information extraction, product retrieval and product matching.EDA analysis and practical hands-on experience with datasets, ML models and evaluations.Proficiency in Python, Pytorch, Git, pandas, dask, polars, sklearn, huggingface, docker, databricks.Analytical mindset, problem solving and logical thinking capabilities.Proactive attitude, constructive, intellectual curiosity and persistence to find answers to questions.A high level of interpersonal and communication skills in English and strong ability to meet deadlines.
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