Overview As the world's largest research organization, Nielsen is powered by talented creative Data scientists. Our Data Scientist Business Leaders come from diverse disciplines such as statistics, research methodology, mathematics, psychology, business, engineering, physics and demography. These professionals drive innovation, new product ideation, develops complex analysis and delivery of data insights to measure what consumers buy. Responsibilities Join our Consumer specialized international team, in a flexible working environment. Help to educate our commercial associates and our clients in how to use our innovative Consumer products, from take home panels to receipt capture and beyond. Serve as a panel expert, ensuring the design and execution of industry-leading consumer panels. Serve as a panel expert, through data client inquiry investigations, and ensuring data quality throughout consumer products. Present and communicate findings and recommendations based on research and analysis. Develop and implement best practices, documentation standards, and robust methodologies to ensure consistent and scalable approaches across projects. Oversee end-to-end validation and projection performance metrics to drive product quality. Support production deployment of proposed enhancements/new solutions. Qualifications Bachelor’s or Master’s Degree in Mathematics, Statistics, Socio-economics, Data Science or other related field with 3+ years’ experience in data science, analytics, or consumer insights. Knowledge of/ Interest in consumers and their behavior and managed consumer related crowdsourced panels Experience working with Commercial functions and/or clients Strong aptitude for data analysis. Ability to manipulate, analyze and interpret large data sources. Eager to continuously learn and adopt and develop evolving technologies and tools Excellent communication/writing and collaboration skills. Excellent statistical and logic skills. Experience in data cleaning, outlier validation, sampling, bias reduction, indirect estimation, data aggregation techniques. Ability to work independently and as part of a team. Attention to detail and a commitment to delivering high-quality work.
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