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Senior Data Scientist (Engineering-Focused with Methodological Depth) - Remote

Posted Yesterday
Data Analysis
Full Time
India

Overview

Join a dynamic and diverse global team dedicated to developing innovative solutions that uncover the complete consumer journey for our clients. We are seeking a highly skilled Data Scientist with strong development skills in programming languages such as Python.

In Short

  • Collaborate with an international team in a flexible and supportive setting.
  • Take ownership of a core Python-based tool.
  • Design and implement new features to improve team efficiency.
  • Evaluate and enhance current methodologies.
  • Maintain comprehensive documentation of the tool’s architecture.
  • Conduct rigorous research and analysis for tool improvements.
  • Support production deployment of new features.
  • Coordinate efforts across multiple teams.

Requirements

  • Bachelor’s or Master’s Degree in a relevant field with a minimum of 3 years of experience.
  • Proficient in Python or another programming language.
  • Strong software engineering skills.
  • Experience with large data sets and data analysis.
  • Experience using Spark and SQL is a plus.
  • Eagerness to adopt evolving technologies.
  • Strong communication and collaboration skills.

Benefits

  • Flexible working environment.
  • Volunteer time off.
  • LinkedIn Learning.
  • Employee-Assistance-Program (EAP).
NielsenIQ logo

NielsenIQ

NielsenIQ is a global leader in measurement and data analytics, providing comprehensive insights into consumer behavior and market dynamics. With a presence in over 90 countries, NielsenIQ delivers accurate and actionable information to consumer packaged goods manufacturers and retailers, enabling them to innovate and grow in a complex marketplace. The company combines its proprietary data with other sources to help clients understand current trends and future opportunities. Committed to diversity and inclusion, NielsenIQ is an Equal Opportunity/Affirmative Action employer, ensuring a workforce that reflects the diversity of the markets it serves.

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