Company Description

Our NielsenIQ teams empower our clients to make bold decisions and transform their businesses in trusted data, solutions, and insights designed to drive innovation and growth.

The NielsenIQ North America Data Science team is passionate about solving complex client challenges and providing data-driven, actionable, timely, and innovative solutions.

Join a dynamic and diverse integral 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. Additionally, expertise in statistics, mathematics, econometrics, and experience with panel data to revolutionize the way we measure consumer behavior both online and in-store.

Looking ahead, we are excited to find someone who will join our team in developing a tool that can simulate the impact of production process changes on client data.



This tool outside of the production factory will allow the wider Data Science team to drive innovation with unpresented efficiency.

Qualifications:
- About You
- 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.
- Communication and Collaboration: Strong communication, writing, and collaboration skills. Experience or interest in supporting cross-functional stakeholders in production deployment
- Continuous Learn

📌 Lead Data Scientist (Bogotá)
🏢 Nielseniq
📍 Bogotá