Role Overview In 100 countries around the world, NielsenIQ provides clients the most complete understanding of how the FMCG market evolves and what consumers buy. As a global leader in measurement and information, we believe providing our clients a precise understanding of the consumer is the key to making the right decisions -- decisions that can lead to profitable growth. At NielsenIQ, we’re always innovating to keep pace with emerging market trends and the increasingly diverse, demanding and connected consumer. Being a Sr. Data Scientist, you will play a critical role in developing the next generation of retail measurement solutions we offer our clients, powered by algorithms, ML and AI and leveraging large volumes of internal data, client data and third party data. Responsibilities Work across functions, including with other data scientists specializing it different areas, on various projects, including R&D and automation to solve the business needs of the day Translate Clients’ and Product Team’s requirements to actionable solutions or products Ideate and develop solutions for the product innovation pipeline Define the given business problem as a scientific research problem Research solutions, identify and understand the relevant internal data, set and execute experiments, prototype the solution and support Technology team on productionalizing them Build statistical and analytical models (including ML/AI approaches) as prototypes and POCs to address specific client business needs Test and optimize those models using big data. Fine tune parameters and iterate. Document the solution and experimentation to arrive to it, and create specifications for Technology team to productionize it Read, write, comment, maintain, and share legible and quality computer code utilized in prototyping and suctioning. Role Requirements Role requirements: (E=essential, P=preferred) E - Bachelors or Masters degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering or related field, with outstanding analytical expertise and strong technical background. PhD level in the area is a plus. E - 6+ years of experience in data science/research E - experience in independently leading and owning end-to-end research related projects E - Vast knowledge of statistical and machine learning methodologies: Sampling theory, Probability Theory, Variation analysis, Outlier identification techniques, Regressions, Classification, Time series analysis, Clustering, Monte Carlo simulations, Neural Networks, etc. E - Proficient in Python and its most common data science libraries. E – Good communication and presentation skills, expressing and defending the delivered work E – Experience in designing experiments, prototyping as well as supporting pilot programs for R&D purposes. P - Experience with cloud computing and storage software, ETL P - Experience with Github or similar version control platforms P - Domain in managing clients and proven experience of solving complex client requirements. Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) Our Commitment to Diversity, Equity, and Inclusion At 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 #J-18808-Ljbffr