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# Data Scientist and Modeler

- **Company:** The Nielsen Company (US), LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $100,000.0 - $150,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, Big Data, BigQuery, Code Generation, Data Centers, Data Dictionary, Information Engineering, Extract Transform Load (ETL), Data Visualization, Data Warehousing, Python (Programming Language), Machine Learning, SAP Sales and Distribution, SQL Databases, Tableau (Software), VMware VSphere, Workflow Management Systems, Network Routers, Cloud Platform System, Large Language Models, Snowflake, Model Validation, Pyspark, Machine Learning Operations, Spotfire, Databricks
- **Published:** August 6, 2026
- **Apply:** https://jobs.smartrecruiters.com/TheNielsenCompany/3743990014455169-senior-data-scientist-and-modeler?oga=true&trid=8dc3fc18-7d27-474f-af15-47b783076ace

## About the Role

Nielsen & Media Research Knowledge

 * 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, navigating differences in sample design, universe estimates, and reporting conventions
 * Solid grasp of US media research fundamentals across Television, and Digital

Data Science & Modeling

 * 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 - not just analyses
 * Strong foundations in statistical modeling, sampling theory, weighting, and survey-based projections; comfortable with ML techniques where they fit
 * Engineering & Technical Stack
 * 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 (Databricks ML, Snowflake, or BigQuery ML) is a plus
 * Experience building and maintaining ETL pipelines using Airflow or equivalent orchestration tools
 * Familiarity with data warehousing concepts, cloud-native storage (Redshift, S3, or similar), and data engineering principles

AI Fluency - Required, Not Optional

 * Active daily use of AI tools (LLMs, copilot-style assistants) for code generation, model validation, documentation, and workflow acceleration - this is a core expectation of the role
 * Experience designing agentic AI workflows for automation - chaining tools, validation steps, and outputs to reduce manual effort on repeatable tasks
 * Comfortable evaluating where AI outputs need verification versus where they can be trusted; understands the limits as well as the leverage

Communication & Delivery

 * Ability to explain methodology decisions to non-technical stakeholders without oversimplifying the tradeoffs
 * Strong documentation habits - methods, data dictionaries, and assumptions written up so others can reproduce and build on your work
 * Proficiency in Tableau, Spotfire, or equivalent visualization tools for QA and client-facing output

This role is for someone who is energized by building things that don't exist yet, comfortable in ambiguity, and
disciplined enough to get the methodology right the first time.

## Description

Join a boutique investment banking team to build and own complex financial models, prepare client-ready presentations, drive M&A and capital-raising processes, manage diligence and coordination with advisors, and interact directly with senior clients. Requires strong analytical, quantitative, and client communication skills and elite execution on lean deal teams.
Top Skills: Claude PluginExcelGaapIndex/MatchMacrosPivot TablesPower QueryPowerPointVlookupWordXlookup
Fortune Brands Innovations


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