Senior Data Scientist -- Measurement & Optimization Offering (Adtech & Martech)

Role overview

Develop and maintain measurement methods that help explain the effect of marketing activity across media, commerce, engagement, and business outcomes. You’ll turn open-ended analytical questions into repeatable models and support their validation, delivery, and ongoing performance in a privacy-conscious data environment.

Responsibilities

- Help build and validate incrementality, multi-touch attribution, marketing mix, and rules-based attribution models. - Explore large, multi-source datasets and engineer features for measurement analyses. - Work with data engineering colleagues to check data quality and the pipelines that supply models. - Test new partner and exposure data sources, and document methods for consistent delivery. - Monitor deployed models and flag data quality or performance issues. - Contribute to aggregate analysis and scoring or segmentation models using identity-linked data and privacy-preserving methods.

Requirements

- Master’s degree in statistics, computer science, applied mathematics, economics, or a related field, plus at least five years in applied data science or analytics. - Working knowledge of statistical modeling, hypothesis testing, and causal inference. - Proficiency in Python or R and SQL. - Familiarity with marketing measurement concepts and media metrics, or the ability to learn them quickly. - Experience working with large, complex datasets on cloud or data platforms. - Strong analytical and communication skills.

Nice to have

- Experience in advertising technology, marketing technology, or data-driven products. - Exposure to identity resolution, graph data, clean rooms, partner data integrations, or retail media. - Experience with causal inference, experimental design, or visualization tools. - Familiarity with AI-assisted analysis and coding, including practices for checking generated code.

Benefits and work setup

- The position is listed as home-based in Conway, Arkansas.