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Nielsen

Senior Data Scientist

Nielsen

Senior Data Scientist I developing innovative measurement products leveraging Nielsen datasets. Collaborating with teams to design solutions across TV, Streaming, Audio, and Digital.

Posted 6/19/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $93,940 - $156,530 per yearWebsite

Tech Stack

Tools & technologies
AirflowAWSCloudETLPySparkPythonSQL

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Comp & perks
  • 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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Hard Skills & Tools
SQLPythonPySparkstatistical modelingmachine learningETLdata pipelinessampling theoryweightingsurvey-based projections
Soft Skills
collaborationcommunicationproblem-solvingdocumentationstakeholder management
Certifications
advanced degree in Statisticsadvanced degree in Mathematicsadvanced degree in Computer Scienceadvanced degree in Data Science