Senior Data Scientist

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Nielsen

10,000+ employees

Founded 1923

📱 Media

💰 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

• Design and build new measurement products by combining Nielsen datasets across TV, Streaming, Audio, and Digital • Develop statistical and machine learning models to answer questions not addressed by standard products • Write production-quality SQL, Python, and PySpark to extract, transform and model data • Build reusable data pipelines and ETL workflows for custom solutions • Use AI tools to validate models, accelerate pipeline development, and compress delivery time • Translate stakeholder requests into well-scoped analytical problems and deliver with clear documentation • Collaborate with Research, Commercial Sales, and Client Insights teams

🎯 Requirements

• 3+ years working directly with Nielsen datasets (TAM, DAR/N1Ads, DCR, Audio, or similar) with hands-on knowledge of Nielsen's weighting, projection, and audience estimation methodology • Proven ability to merge and reconcile multiple Nielsen data sources • Solid grasp of US media research fundamentals across Television and Digital • Advanced degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field • 5+ years in data science or analytical research roles, with a track record of delivering production-grade models • Strong foundations in statistical modeling, sampling theory, weighting, and survey-based projections; comfortable with ML techniques • Expert-level Python and SQL; strong PySpark for big data work in cloud environments (AWS preferred) • Experience with Databricks for large-scale data processing and ML workflows; familiarity with warehouse-native ML is a plus • Experience building and maintaining ETL pipelines using Airflow or equivalent orchestration tools • AI Fluency — Required, Not Optional • Ability to explain methodology decisions to non-technical stakeholders without oversimplifying the tradeoffs

🏖️ Benefits

• comprehensive health and wellness plans • 401(k) with a Nielsen company match • generous paid time off policy • company-provided vehicle and/or discretionary incentive/bonus eligibility

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