NielsenIQ is hiring a Lead Data Scientist

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 Lead 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. You’ll be actively participating with other team members in the overall Product creation process. From ideation through Proof Of Concept and experimenting for methodological development, through prototyping and productionalization, to “Go to Market” strategy, you’ll be learning and exploring the newest technologies & applications for data architecture, and data modelling solutions. You will work alongside a group of talented individuals with different areas of expertise including best in class data scientists, product managers, and data collection specialists with the main purpose of accelerating innovation. On a daily basis you’ll be expected to: - 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 - Define and own the roadmap of R&D and prototyping solutions - 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.