Data Scientist, Audience Forecasting & Analytics

Nielsen; México; On-site; MXN 650,000 - 900,000; Full time

Job summary

Nielsen, a global data insights leader, seeks a data science professional to forecast, model and code production processes for PPM wearables audience measurement. You will develop data pipelines, run analyses and present results to stakeholders with actionable insights.

Work involves econometric and ML models, complex data queries, and collaboration across teams to improve measurement accuracy and scalability. Strong coding, testing and CI/CD practices are expected.

Qualifications

• Bachelor's degree or higher in math, statistics, CS, data science or related field.
• 3+ years delivering analytical software solutions in production.
• 3+ years with Python, PySpark and SQL for data pipelines.
• Data visualization using Tableau or similar tools.
• Experience in cloud environments like AWS.
• DevOps, CI/CD with GitLab or similar tools.
• Strong communication and ability to manage multiple priorities.
• Nice to have knowledge of ANOVA, Chi-squared, correlation and regression.
• Experience querying large datasets and working with data warehouses/lakes.

Responsibilities

• Research, design, develop, implement and test econometric, statistical, optimization and ML models.
• Understand PPM sampling methods and audience measurement strategies.
• Query data from large relational databases for analyses and requests.
• Use Python, Tableau, R to perform analyses and visualizations.
• Maintain data algorithms for PPM Sample Methodology in production.
• Update procedures, checklists and metrics regularly.
• Collaborate with interdepartmental teams to propose and test new initiatives.
• Respond to client requests with data-driven solutions.
• Include quality checks to detect and correct errors in production.
• Support code reviews and CI/CD practices to ensure product quality.

Skills

Statistics

Data Science

Python

PySpark

SQL

Tableau

AWS

CI/CD

Project Management

Education

Bachelor's Degree in a relevant field

Tools

Python

Tableau

SQL

AWS

GitLab

Job description

Nielsen, a global data insights leader, seeks a data science professional to forecast, model and code production processes for PPM wearables audience measurement. You will develop data pipelines, run analyses and present results to stakeholders with actionable insights.

Work involves econometric and ML models, complex data queries, and collaboration across teams to improve measurement accuracy and scalability. Strong coding, testing and CI/CD practices are expected.