Audience Measurement Data Scientist – PPM & Forecasting

Nielsen; México; On-site; MXN 900,000 - 1,200,000; Full time

Job summary

Nielsen is seeking a data-driven professional to develop and validate econometric, statistical, and machine learning models for next-generation audience measurement. The role focuses on the PPM Wearables panel, building scalable data pipelines and delivering insights to stakeholders.

You will work with Python, PySpark, SQL, and Tableau to analyze large datasets, while leveraging AWS and CI/CD practices to ensure production-grade solutions.

Qualifications

• Bachelor’s Degree or higher in Mathematics, Statistics, Computer Science, Data Science, Data Engineering or a related field.
• 3+ years of professional work experience in Statistics, Data Science, and/or related disciplines, with focus on delivering analytical software solutions in a production environment.
• 3+ years of experience with Python, PySpark and SQL for data pipeline development, data visualization with Tableau, AWS, and CI/CD workflows using GitLab or similar tools.

Responsibilities

• Research, design, develop, implement and test econometric, statistical, optimization and machine learning models.
• Gain a deep understanding of the PPM sampling methodology and become an expert in Audience Measurement, focusing on panel management strategies.
• Query data from large relational databases for analyses and requests.
• Utilize Python, Tableau, R to perform data analysis and visualizations.
• Oversee, maintain and evolve data algorithms for PPM Sample Methodology in a time-critical production environment.
• Maintain and update documented procedures, checklists and metrics regularly.
• Collaborate with interdepartmental teams to propose and implement new initiatives and assist with requirements, software development and testing.
• Respond to client requests with data-driven solutions to problems.
• Incorporate quality checks to detect and correct errors throughout processing and analysis.
• Ensure product quality, stability, and scalability by code reviews and CI/CD best practices.

Skills

Data analysis

Python

PySpark

SQL

Tableau

Cloud AWS

Education

Bachelor’s degree or higher in Mathematics, Statistics, Computer Science, Data Science, Data Engineering or related field

Tools

Tableau

GitLab

Oracle/Netezza/Data Warehouse

Data Lake

CI/CD

Job description

Nielsen is seeking a data-driven professional to develop and validate econometric, statistical, and machine learning models for next-generation audience measurement. The role focuses on the PPM Wearables panel, building scalable data pipelines and delivering insights to stakeholders.

You will work with Python, PySpark, SQL, and Tableau to analyze large datasets, while leveraging AWS and CI/CD practices to ensure production-grade solutions.