Data Scientist

Nielsen

. Research, design, develop, implement and test econometric, statistical, optimization and machine learning models .

Posted 10/8/2026full-timeRemote • MexicoMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Econometric and Statistical Modeling, with strong capabilities in Data Analysis and Visualization using Python, R, and Tableau. Proven experience in managing complex data pipelines and implementing data-driven solutions in a production environment.

Highest-signal resume keywords

Python ProgrammingData Visualization with TableauStatistical AnalysisCloud-Based Environments (AWS)CI/CD Workflows using Gitlab

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Econometric ModelingStatistical ModelingMachine LearningData AnalysisData Pipeline DevelopmentSQL ProgrammingPySpark ProgrammingData Quality ChecksANOVARegression Analysis

Soft Skills

Project ManagementClear CommunicationProblem-SolvingStrategic ThinkingOrganizational Skills

Tools & Technologies

TableauPythonRAWSGitlabData WarehouseData Lake

Industry Keywords

Audience MeasurementPPM Sampling MethodologyData AlgorithmsInterdepartmental CollaborationProduction Environment

Tech Stack

Tools & technologies

AWSCloudOraclePySparkPythonSQLTableau

About the role

Key responsibilities & impact

Research, design, develop, implement and test econometric, statistical, optimization and machine learning models
Gain a deep understanding of PPM sampling methodology and become an expert in Audience Measurement, focusing on panel management strategies
Query large relational databases for analyses and requests
Use Python, Tableau, R and other tools for complex data analysis and visualizations
Oversee, maintain and evolve data algorithms for managing PPM Sample Methodology in a time-critical production environment
Maintain and update departmental procedures, checklists and metrics
Serve on interdepartmental teams to propose, evaluate and implement new initiatives
Support requirements writing, new software development and testing
Respond to internal and external client requests with data-driven solutions
Incorporate quality checks to detect and correct errors in production processing and analysis
Facilitate code reviews and drive modular code, unit tests and CI/CD best practices to ensure product quality, stability and scalability

Requirements

What you’ll need

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 manipulating, analyzing and interpreting complex data sources
3+ years of experience programming in Python, PySpark and SQL for data pipeline development used to support analytics
3+ years of experience with data visualization using Tableau and/or similar tools
Experience working in cloud-based environments such as AWS
Experience with DevOps tools, code management and CI/CD workflows using Gitlab or similar tools
Project management skills, including ability to prioritize multiple assignments
Well-organized, clear communication, and ability to handle multiple competing priorities in a fast-paced environment
Readiness to explore new solutions and commitment to rapid iteration based on customer feedback
Strategic thinking and understanding of the broader impact of data insights on product and business objectives
Exceptional problem-solving skills
Ability to solve problems independently and within a cross-functional team
Nice to have: working knowledge of ANOVA, Chi-squared, correlation, regression, and Student t-test
Nice to have: expertise querying large datasets with SQL and working with Oracle/Netezza/Data Warehouse and Data Lake data structures

Benefits

Comp & perks

Employees can work remotely
Equal opportunities and a diverse and inclusive workplace
Work environment free from discrimination and harassment