Data Science Leader
hace 6 días
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 at NielsenIQ.
Key Responsibilities- Methodology Enhancement: Evaluate and improve current methodologies, especially the consumer projection, and our analytical models to drive business growth and innovation.
- Research and Analysis: Lead and define the R&D for the Consumer product's core methods, presenting and communicating findings and recommendations based on rigorous research and analysis to peers and senior stakeholders.
- Innovative Solutions: Develop prototypes of new solutions and methodologies to address challenges in a dynamic market environment, driving business impact and growth.
- Coordination: Coordinate efforts across multiple teams and stakeholders to ensure seamless collaboration and delivery of high-quality results.
- Educational Background and Experience: 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 and at least 2 years of experience managing a team.
- Statistical Expertise: Strong statistical and logical skills, with experience in outlier validation, sampling, bias reduction, indirect estimation, or data aggregation techniques.
- Consumer Insights: Knowledge of consumer behavior and (un)managed consumer-related crowd-sourced panels.
- Data Analysis Skills: Proficiency in manipulating, analyzing, and interpreting large data sets.
- Programming Proficiency: Strong experience with Python or another high-level programming language, with a willingness to learn Python.
- Continuous Learning: Eagerness to adopt and develop evolving technologies and tools, with a curiosity to follow the newest research in the relevant fields and transfer to our products and business processes.
- Communication and Collaboration: Strong communication, writing, and collaboration skills (English).
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