Full-Time Senior Data Scientist
NielsenIQ is hiring a remote Full-Time Senior Data Scientist. The career level for this job opening is Senior Manager and is accepting Baroda, India based applicants remotely. Read complete job description before applying.
NielsenIQ
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Join a dynamic and diverse global team dedicated to developing innovative solutions that uncover the complete consumer journey for our clients. We seek a highly skilled Statistician with expertise in statistics, mathematics, econometrics, and experience with consumer panel data to revolutionize the way we measure consumer behavior online and in-store.
You will work on all methodologies sitting on our Panel On Demand (POD) platform including aggregation methods and analytical models.
About the Role
- Collaborative Environment: Work with an international team in a flexible and supportive setting.
- Methodology Enhancement: Evaluate and improve current methodologies within the POD platform.
- Research and Analysis: Present and communicate findings and recommendations based on rigorous research and analysis.
- Innovative Solutions: Develop prototypes of new solutions and methodologies to address market challenges.
- Deployment Support: Assist the technical deployment of proposed enhancements and new solutions.
- Documentation: Document findings, methodologies, and best practices comprehensively.
About You
Ideally, you possess a good understanding of consumer behavior, panel-based projections, and consumer metrics and analytics. You've successfully applied your statistical and data analytical skills to real-world scenarios, demonstrating your ability to handle complex data sets and generate actionable insights.
Educational Background: Master's Degree in Mathematics, Statistics, Socio-economics, Data Science, or a related field with a minimum of 3 years of relevant experience.
Statistical Expertise: Strong statistical and logical skills, with experience in data cleaning, statistical modeling, sampling, and data aggregation techniques.
Consumer Insights: Knowledge of consumer behavior and (un)managed consumer-related crowdsourced panels.
Data Analysis Skills: Proficiency in manipulating, analyzing, and interpreting large data sets.
Programming Proficiency: Experience with Python or another high-level programming language, with a willingness to learn Python.
Database Handling: Skilled in SQL and working with queries and large-scale databases.
Continuous Learning: Eagerness to adopt and develop evolving technologies and tools.
Communication and Collaboration: Strong communication, writing, and collaboration skills.