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 presented efficiency. Qualifications About You Good understanding of consumer behavior, panel‑based projections, and consumer metrics and analytics. Successfully designed and developed software applying statistical and data analytical methods and demonstrated ability to handle complex data sets. Experience with (un)managed crowdsourced panels and receipt capture methodologies is an advantage. Master’s / Doctorate Degree in Data Science, Mathematics, Statistics or BE/BTech.ComputerEngineering degree in Computer Science, Data Science or related fields involving statistical analysis of large data sets. Experienced understanding of processes, also holistically. Enjoy connecting methodology, engineering, and business context to build solutions that work end‑to‑end—spanning data ingestion, modeling, tooling, deployment, and impact evaluation. Proficiency in manipulating, analyzing, and interpreting large data sets and experience presenting the findings and recommendations. 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. Strong communication, writing, and collaboration skills. Experience or interest in supporting cross‑functional stakeholders in production deployment. Eagerness to adopt and develop evolving technologies and tools. Nice to Have Strong statistical and logical skills, with experience in data cleaning, outlier validation, sampling, bias reduction, indirect estimation, and data aggregation techniques. Knowledge in software engineering, including experience designing and developing software. Familiarity with technology stacks for cloud computing (AzureAI, Databricks, Snowflake), experience with version control systems GitHub or Bitbucket. Additional Information Flexible working environment Volunteer time off 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. #J-18808-Ljbffr