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[Remote] (Contract) Senior Data Scientist, Platform Inference

MarTech DS Measurement | Worksynergy

San Francisco, CARemote OKContract$180k – $280k / year

About this role

Remote (Contract) Senior Data Scientist, Platform Inference - MarTech DS Measurement | Worksynergy Worksynergy.← All Jobs Remote (Contract) Senior Data Scientist, Platform Inference - MarTech DS Measurement Posted Jul 31, 2026 Note: The job is a remote job and is open to candidates in USA. Airbnb is a leading platform in the hospitality industry, and they are seeking a Senior Data Scientist to enhance their marketing measurement capabilities. The role involves developing sophisticated models to quantify the impact of marketing investments and translating complex data insights into actionable recommendations for stakeholders. Responsibilities - Design, build, and maintain MMM models that estimate incremental channel contributions, including prior elicitation, adstock/saturation modeling, validation, and sensitivity analysis - Develop and analyze geo-experiments (synthetic control, difference-in-differences) to measure marketing incrementality and validate MMM outputs - Build and maintain data pipelines and automated measurement systems ensuring reproducibility and scale - Use AI agent workflows to rapidly develop v0 prototypes and spec-driven model implementations — compressing weeks of iteration into days - Refine research prototypes into production-grade systems with proper unit testing, data validation, and code review standards - Translate complex measurement findings into clear narratives and confident budget recommendations for Marketing and Finance stakeholders Skills - 5+ years of industry experience in a quantitative analysis role with a Master's degree in a quantitative field (computer science, statistics etc.), or 2+ years of experience with a Ph.D - Deep, hands-on experience building and validating Marketing Mix Models in a production setting - Strong working knowledge of causal inference methods, including geo-experimentation and observational approaches - Proficiency in Python and R for statistical modeling, and SQL for data manipulati

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