Senior Data Scientist, Modeler

This is a fully remote position, open to applicants in United States.

📋 Description

• Create and develop innovative measurement products by integrating Nielsen datasets across National and Local linear TV, Streaming, Audio, and Digital platforms.

• Construct statistical and machine learning models that enhance or modify Nielsen methodologies.

• Write high-quality SQL, Python, and PySpark code to extract, transform, and model data effectively.

• Develop reusable data pipelines and ETL workflows for consistent delivery of tailored solutions.

• Leverage AI tools to validate models, expedite pipeline development, stress-test logic, and enhance delivery speed.

• Convert stakeholder requests into clearly defined analytical challenges.

• Thoroughly document methodologies and underlying assumptions.

• Collaborate closely with teams in Research, Commercial Sales, and Client Insights.

• Articulate complex model decisions in straightforward language.

⛳️ Requirements

• A minimum of 3 years of hands-on experience with Nielsen datasets such as TAM, DAR/N1Ads, DCR, or Audio.

• Practical knowledge of Nielsen weighting, projection, and audience estimation methodologies.

• Capability to merge and reconcile various Nielsen data sources.

• Strong grasp of US media research fundamentals in Television and Digital sectors.

• Advanced degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative discipline.

• At least 5 years in data science or analytical research positions.

• Proven history of delivering production-quality models.

• Solid foundations in statistical modeling, sampling theory, weighting, and survey-based projections.

• Expert-level proficiency in Python and SQL.

• Strong PySpark expertise for handling big data in cloud environments.

• Experience with Databricks for large-scale data processing and ML workflows.

• Background in building and maintaining ETL pipelines using Airflow or similar orchestration tools.

• Familiarity with data warehousing, cloud-native storage solutions, and data engineering principles.

• Regular daily use of AI tools for code generation, model validation, documentation, and workflow enhancement.

• Experience designing agentic AI workflows for automation purposes.

• Ability to assess and validate AI outputs.

• Skill in explaining methodological decisions to non-technical stakeholders.

• Strong documentation practices.

• Proficiency in Tableau, Spotfire, or comparable visualization tools.

🏝️ Benefits

• Comprehensive health and wellness plans.

• 401(k) plan with a Nielsen company match.

• Generous paid time off policy.

• Company-provided vehicle (depending on the role).

• Eligibility for discretionary incentives/bonuses (depends on the role).

• Potential qualification for bonuses, equity, or other incentives.