Data Scientist

Audiohook

. Own the measurement science behind Audiohook's performance audio advertising platform .

Posted 9/15/2026full-timeRemote • United StatesMid-LevelSenior💰 $120,000 - $170,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in measurement science and causal analysis to drive performance in audio advertising. Proficient in designing experiments and building predictive models to enhance campaign effectiveness and communicate insights to diverse stakeholders.

Highest-signal resume keywords

Incrementality Experiment DesignMarketing Mix ModelingCausal Inference MethodsPython ProgrammingStatistical Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

IncrementalityMarketing Mix ModelsMulti-Touch AttributionCausal AnalysisStatistical InferenceRegressionExperiment DesignPredictive ModelingData AnalysisSQL

Soft Skills

Clear CommunicationAttention to DetailIntellectual Honesty

Tools & Technologies

PythonPandasStatsmodelsScikit-LearnPyMC

Industry Keywords

Audio AdvertisingMeasurement ScienceGeo ExperimentsHoldout StudiesAttribution

Tech Stack

Tools & technologies

PandasPythonScikit-LearnSQL

About the role

Key responsibilities & impact

Own the measurement science behind Audiohook's performance audio advertising platform
Design and run incrementality experiments (geo, ghost bidding, holdout, PSA) to quantify lift for advertisers
Build, maintain, and evolve marketing mix models and multi-touch attribution analyses across customer campaigns
Apply causal inference methods, including difference-in-differences, synthetic controls, instrumental variables, and propensity scoring
Translate measurement results into clear narratives for advertisers, internal stakeholders, and the product team
Partner with Engineering on the data and modeling layer powering bidding, pacing, and optimization decisions
Develop and validate predictive models to improve campaign performance and platform efficiency
Instrument experiments and analyses for reproducibility, monitoring, and ongoing measurement quality
Partner with Sales and Customer Success on measurement studies for priority accounts and renewals
Partner with Product on roadmap inputs grounded in causal evidence
Present findings to advertisers, internal teams, and leadership in decision-ready formats
Communicate clearly and proactively in a remote-first environment

Requirements

What you’ll need

Bachelor's or Master's degree in Statistics, Economics, Data Science, Computer Science, or related quantitative field
3–5 years of applied data science experience with a focus on marketing measurement — incrementality, MMM, attribution, or causal analysis
Hands-on experience designing and analyzing experiments (A/B, geo, holdout) in a marketing or advertising context
Strong fluency in Python (pandas, statsmodels, scikit-learn, PyMC, or similar) and SQL
Solid grounding in statistical inference, regression, and causal methods
Ability to communicate technical results to non-technical audiences — advertisers, sales, leadership
Excellent attention to detail and intellectual honesty about model limitations
No immigration sponsorship available; candidates must not require sponsorship to work in the United States

Benefits

Comp & perks

Competitive salary and equity opportunities
Performance bonuses
Health, dental, and vision benefits
Daily lunch stipend
Monthly wifi, cell phone and subscription reimbursement
Annual hardware stipend
Flexible PTO
Remote-friendly culture
Bi-annual Corporate Offsites
Opportunity to help shape a function at a rapidly scaling tech company