Company Description Our NielsenIQ teams empower our clients to make bold decisions and transform their businesses in trusted data, solutions, and insights designed to drive innovation and growth. The NielsenIQ North America Data Science team is passionate about solving complex client challenges and providing data-driven, actionable, timely, and innovative solutions. Job Description 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. Qualifications 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. 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 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—spanning data ingestion, modeling, tooling, deployment, and impact evaluation. Data Analysis Skills: Proficiency in manipulating, analyzing, and interpreting large data sets and experience presenting the findings and recommendations. Programming Proficiency: Experienced programming in Python, an ideal candidate has already implemented Statistical methods like outlier validation. Experience programming efficiently to process large amounts of data, optimally using the PySpark package. Optionally, experience in SQL and working with queries. Communication and Collaboration: Strong communication, writing, and collaboration skills. Experience or interest in supporting cross-functional stakeholders in production deployment. Continuous Learning: Eagerness to adopt and develop evolving technologies and tools. Nice to Have Statistical Expertise: Strong statistical and logical skills, with experience in data cleaning, outlier validation, sampling, bias reduction, indirect estimation, and data aggregation techniques. Software Engineering Skills: Knowledge in software engineering, including experience designing and developing software. Technology Skills: Familiarity with technology stacks for cloud computing (AzureAI, Databricks, Snowflake), experience with version control systems GitHub or Bitbucket. Embark on this exciting journey to transform our panel measurement business and make a significant impact in the world of consumer analytics. Apply now to be a part of our innovative team! Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) #J-18808-Ljbffr