Lead Data Scientist

About this role

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Skills you'll use

What you'll do

• 5+ years experience
• Educational Background: Master’s / Doctorate Degree in Data Science, Mathematics, Statistics or BE/BTech. Computer Engineering degree in Computer Science, Data Science or related fields involving statistical analysis of large data sets 
• End-to-End Mindset: Experienced understanding processes also holistically. You enjoy connecting methodology, engineering, and business context to build solutions that work end‑to‑end—spanning data ingestion, modeling, tooling, deployment, and impact evaluation. 
•  Data Analysis Skills: Proficiency in manipulating, analyzing, and interpreting large data sets and experience presenting the findings and recommendations.   
•  Programming Proficiency: 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. 
•  Communication and Collaboration: Strong communication, writing, and collaboration skills. Experience or interest in supporting cross-functional stakeholders in production deployment 
•  Continuous Learning: Eagerness to adopt and develop evolving technologies and tools. 
•  Statistical Expertise: Strong statistical and logical skills, with experience in data cleaning, outlier validation, sampling, bias reduction, indirect estimation, and data aggregation techniques. 

Who can apply

• 5+ years experience
• Educational Background: Master’s / Doctorate Degree in Data Science, Mathematics, Statistics or BE/BTech. Computer Engineering degree in Computer Science, Data Science or related fields involving statistical analysis of large data sets 

About NielsenIQ

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