
10,000+ employees
Founded 1923
đą Media
đŁ Marketing
đ° 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.
đ 2 days ago
đşđ¸ United States â Remote
đľ $93.9k - $156.5k / year
â° Full Time
đ Senior
đ Data Scientist
đŚ H1B Visa Sponsor
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10,000+ employees
Founded 1923
đą Media
đŁ Marketing
đ° 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.
⢠Design and build new measurement products by combining Nielsen datasets across National and Local linear TV, Streaming, Audio, and Digital ⢠Develop statistical and machine learning models that extend or adapt Nielsen methodologies ⢠Write production-quality SQL, Python, and PySpark to extract, transform, and model data ⢠Build reusable data pipelines and ETL workflows for repeatable delivery of custom solutions ⢠Use AI tools to validate models, accelerate pipeline development, stress-test logic, and speed delivery ⢠Translate stakeholder requests into well-scoped analytical problems ⢠Document methodology and assumptions clearly ⢠Collaborate with Research, Commercial Sales, and Client Insights teams ⢠Communicate complex model decisions in plain language
⢠3+ years working directly with Nielsen datasets such as TAM, DAR/N1Ads, DCR, or Audio ⢠Hands-on knowledge of Nielsen weighting, projection, and audience estimation methodology ⢠Ability to merge and reconcile multiple Nielsen data sources ⢠Strong understanding 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 ⢠Track record of delivering production-grade models ⢠Strong foundations in statistical modeling, sampling theory, weighting, and survey-based projections ⢠Expert-level Python and SQL ⢠Strong PySpark skills for big data work in cloud environments ⢠Experience with Databricks for large-scale data processing and ML workflows ⢠Experience building and maintaining ETL pipelines using Airflow or equivalent orchestration tools ⢠Familiarity with data warehousing, cloud-native storage, and data engineering principles ⢠Active daily use of AI tools for code generation, model validation, documentation, and workflow acceleration ⢠Experience designing agentic AI workflows for automation ⢠Ability to evaluate and verify AI outputs ⢠Ability to explain methodology decisions to non-technical stakeholders ⢠Strong documentation habits ⢠Proficiency in Tableau, Spotfire, or equivalent visualization tools
⢠Comprehensive health and wellness plans ⢠401(k) with a Nielsen company match ⢠Generous paid time off policy ⢠Company-provided vehicle (depending on the role) ⢠Discretionary incentive/bonus eligibility (depending on the role) ⢠Potential eligibility for bonuses, equity, or other incentives
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