Data Science Lead
1 semana atrás
About the Role
We are seeking an experienced leader with strong expertise in statistics, mathematics, econometrics, or a related field to join our dynamic and diverse global team.
Key Responsibilities
- Evaluate and improve current methodologies, especially the consumer projection, and our analytical models.
- Lead and define the R&D for the Consumer product's core methods.
- Present and communicate findings and recommendations based on rigorous research and analysis to peers and senior stakeholders.
- Develop prototypes of new solutions and methodologies to address challenges in a dynamic market environment.
- Coordinate efforts across multiple teams and stakeholders.
Requirements
- Master's Degree or PHD in Mathematics, Statistics, Socio-economics, Data Science, or a related field with a minimum of 5 years of relevant experience.
- Strong statistical and logical skills, with experience in outlier validation, sampling, bias reduction, indirect estimation, or data aggregation techniques.
- Knowledge of consumer behavior and (un)managed consumer-related crowd-sourced panels.
- Proficiency in manipulating, analyzing, and interpreting large data sets.
- Strong experience with Python or another high-level programming language.
About Nielseniq
Nielseniq is the world's leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth.
We are committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products.
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