Data Scientist II

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Nielsen

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1923

📱 Media

📣 Marketing

💰 Post-IPO Debt on 2023-02

Media • Data Analytics • Marketing

Nielsen is a global measurement and data analytics company that provides audience measurement and media metrics solutions across various platforms. They offer cross-media measurement services spanning TV, digital, streaming, and audio for more precise media planning and marketing optimization. Nielsen's flagship product, Nielsen ONE, integrates these services to deliver a comprehensive view of audience habits and preferences. Additionally, they offer insights and tools for understanding consumer behavior and optimizing marketing strategies, backed by a robust data infrastructure including big data and panel methodologies. Nielsen also champions diversity and inclusion, emphasizing a culture supported by a diverse workforce and numerous business resource groups.

📋 Description

• 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.

🎯 Requirements

• 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 the following: • Manipulating, analyzing and interpreting complex data sources to tell a story from data through analyses • Programming 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 and procedures 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.

🏖️ Benefits

• Health insurance • Flexible work arrangements • Professional development