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Senior Data Scientist
NielsenSenior Data Scientist I developing innovative measurement products leveraging Nielsen datasets. Collaborating with teams to design solutions across TV, Streaming, Audio, and Digital.
Tech Stack
Tools & technologiesAirflowAWSCloudETLPySparkPythonSQL
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
ATS Keywords
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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