Data Scientist II - Audience Analytics & Forecasting

The Nielsen Company

Mexico

Hybrid

PHP 600,000 - 1,200,000

Full time

14 days+

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Job summary

The Nielsen Company seeks a skilled Data Scientist to design and implement econometric, statistical, optimization, and machine-learning models for PPM audience measurement. You will build data pipelines, run analyses, and summarize results for a range of stakeholders in a production environment.

You will explore the PPM sampling methodology, manage panel strategies, and collaborate across departments. Strong Python/PySpark/SQL, Tableau, and AWS experience are essential, with a focus on scalable,

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.
Proficiency in Python, PySpark and SQL for data pipeline development used to support analytics.
Data visualization with Tableau and/or similar tools.
Experience working in cloud-based environments such as AWS.
DevOps tools, code management and CI/CD workflows using Gitlab or similar tools.
Project management including ability to prioritize multiple assignments.
Well-organized, clear communication, and an ability to handle multiple competing priorities in a fast-paced environment.
Embraces innovation with a readiness to explore new solutions and a commitment to rapid iteration based on customer feedback.
Demonstrates strategic thinking, understanding the broader impact of data insights on product and business objectives.
Exceptional problem solving skills. Abilities to solve problems independently and within a cross-functional team to resolve issues in the projects.
Nice to have: Working Knowledge of statistical tests such as ANOVA, Chi-squared, Correlation, Regression, and Student t-test.
Expertise in querying large datasets with SQL and of working with Oracle/Netezza/Data Warehouse and Data Lake data structures.
Critical thinking skills to evaluate results in order to make timely decisions.

Responsibilities

Research, design, develop, implement and test econometric, statistical, optimization and machine learning models.
Gain a deep understanding of the PPM (Portable People Meter) sampling methodology and become an expert in Audience Measurement, with a focus on panel management strategies.
Query data from large relational databases for various analyses and/or requests.
Utilize tools such as Python, Tableau, R etc. to perform complex data analysis and visualizations.
Oversee, maintain and evolve multiple data algorithms for managing the PPM Sample Methodology in a time-critical production environment.
Maintain and update documented departmental procedures, checklists and metrics comprehensively and on a timely basis.
Serve on various interdepartmental teams seeking to propose, evaluate and implement new initiatives, and work on other critical projects. This includes support with writing requirements, developing new software and testing.
Respond to various internal and external client requests, providing data driven solutions to the problems presented.
Incorporate quality checks to proactively detect and correct for errors throughout production processing and analysis.
Ensure product quality, stability, and scalability by facilitating code reviews and driving best practices like modular code, unit tests, and incorporating CI/CD workflows.