Lead Data Scientist
Join a dynamic and diverse global team dedicated to developing innovative solutions that uncover the complete consumer journey for our clients. We are seeking a highly skilled Data Scientist with strong development skills in programming languages such as Python. Additionally, expertise in statistics, mathematics, econometrics, and experience with panel data to revolutionize the way we measure consumer behavior both online and in-store. Looking ahead, we are excited to find someone who will join our team in developing a tool that can simulate the impact of production process changes on client data. This tool outside of the production factory will allow the wider Data Science team to drive innovation with unpresented efficiency. About the Role In this role, you will contribute to the development and refinement of our data processing pipeline while shaping new analytical methodologies. You’ll grow from owning specific steps of the pipeline to becoming an expert across data cleaning, preparation, and rule validation, working fluently with Python and large datasets. You will also design new methods, translate them into clear specifications, and collaborate with engineering teams to ensure accurate and scalable implementation. Close coordination with stakeholders helps you understand their needs, gather requirements, and secure alignment. This position is ideal for someone who enjoys handson coding, improving data processes, and driving methodological innovation within a collaborative, crossfunctional environment. Qualifications:- 5+ years experience- Educational Background: Master’s / Doctorate Degree in Data Science, Mathematics, Statistics or BE/BTech. Computer Engineering degree in Computer Science, Data Science or related fields involving statistical analysis of large data sets About You Ideally you possess a good understanding of consumer behavior, panel-based projections, and consumer metrics and analytics. You have successfully designed and developed software applying statistical and data analytical methods and demonstrated your ability to handle complex data sets. Experience with (un)managed crowdsourced panels and receipt capture methodologies is an advantage. - End-to-End Mindset: Experienced understanding processes also holistically. You enjoy connecting methodology, engineering, and business context to build solutions that work end‑to‑end...