Audiohook
Data Scientist
United States
Sponsorship not specifiedDetected 25 days ago
PythonSQLBigQuerySnowflakescikit-learnPandasData ScienceStatisticsCustomer SuccessLeadershipCollaboration
About the role
- 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.
Responsibilities
- 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
- 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
- Partner with Sales and Customer Success on measurement studies for priority accounts and renewals
- Partner with Product on roadmap inputs grounded in causal evidence, not just descriptive data
- 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.
- You'll collaborate closely with Engineering, Product, Sales, and Customer Success to ensure measurement isn't just statistically sound but operationally useful.
Requirements
- 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
- Ability to communicate technical results to non-technical audiences - advertisers, sales, leadership
- Experience in adtech, digital advertising, or media measurement
- Experience with Bayesian methods or Bayesian MMM frameworks (e.g., PyMC-Marketing, LightweightMMM, Robyn)
- Experience working with large-scale ad event data (impressions, clicks, conversions) and modern data stacks (e.g., Iceberg, Snowflake, BigQuery)
- Experience in a startup or high-growth company
- Comfort using AI tools to accelerate exploratory analysis, code, and write-ups while maintaining methodological rigor
- 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
- Excellent attention to detail and intellectual honesty about model limitations
Compensation
- Bi-annual Corporate Offsites
Benefits
- Competitive salary and equity opportunities
- Health, dental, and vision benefits
- Other benefits such as daily lunch stipend, monthly wifi, cell phone and subscription reimbursement, and annual hardware stipend
- Flexible PTO and remote-friendly culture
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This listing is sourced directly from Audiohook's careers page and normalized into a canonical job model.