The Data Scientist will own the measurement science behind Audiohook's performance audio advertising platform. You'll design and run incrementality tests, build and maintain marketing mix models, and apply causal analysis to quantify how Audiohook drives outcomes for advertisers. This role combines hands-on modeling with the opportunity to shape how we prove value to customers, sharpen our bidding and optimization systems, and influence product direction. You'll collaborate closely with Engineering, Product, Sales, and Customer Success to ensure measurement isn't just statistically sound but operationally useful.

Marketing Measurement & Causal Inference

Design and run incrementality experiments (geo, ghost bidding, holdout, PSA) that quantify Audiohook's lift for advertisers

Build, maintain, and evolve marketing mix models (MMM) and multi-touch attribution analyses across customer campaigns

Apply causal inference methods — difference-in-differences, synthetic controls, instrumental variables, propensity scoring — to questions that can't be answered with RCTs

Translate measurement results into clear narratives for advertisers, internal stakeholders, and the product team

Modeling & Analysis

Partner with Engineering on the data and modeling layer that powers bidding, pacing, and optimization decisions

Develop and validate predictive models that improve campaign performance and platform efficiency

Instrument experiments and analyses for reproducibility, monitoring, and ongoing measurement quality

Cross-Functional Collaboration

Partner with Sales and Customer Success on measurement studies for priority accounts and renewals

Data Scientist

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Audiohook

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