
Senior Data Scientist, Platform Inference β MarTech DS Measurement
Posted 23 hours ago

Posted 23 hours ago
This is a fully remote position, open to applicants in United States.
β’ Marketing Mix Modeling: Create, develop, and sustain MMM models that quantify incremental channel impacts, encompassing prior elicitation, adstock/saturation modeling, validation, and sensitivity analysis.
β’ Geo-Based Measurement: Construct and assess geo-experiments (synthetic control, difference-in-differences) to evaluate marketing incrementality and substantiate MMM outputs.
β’ Measurement Infrastructure: Establish and uphold data pipelines and automated measurement systems to ensure reproducibility and scalability.
β’ AI-Accelerated Prototyping: Employ AI agent workflows to swiftly create v0 prototypes and spec-driven model implementations, reducing weeks of iteration into mere days.
β’ Productionalization: Transform research prototypes into production-quality systems adhering to rigorous unit testing, data validation, and code review standards.
β’ Insight Communication: Convert intricate measurement results into clear narratives and confident budget recommendations for both Marketing and Finance stakeholders.
β’ Over 5 years of industry experience in a quantitative analysis position with a Masterβs degree in a quantitative discipline (computer science, statistics, etc.), or a minimum of 2 years of experience with a Ph.D.
β’ Extensive, practical experience in creating and validating Marketing Mix Models in a production environment.
β’ Strong comprehension of causal inference techniques, including geo-experimentation and observational methods.
β’ Proficiency in Python and R for statistical modeling, as well as SQL for data manipulation.
β’ Capability to articulate complex ideas clearly to stakeholders with varying levels of technical expertise.
β’ Demonstrated success in addressing business challenges using data science methodologies.
β’ This position may also qualify for bonuses, equity, benefits, and Employee Travel Credits.
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