remote
Data Scientist - Audiohook
Data Scientist
Lead measurement science for a performance audio advertising platform, designing incrementality tests, building marketing mix models, and applying causal analysis to quantify advertiser impact using Python, SQL, and advanced ML techniques.
About the role
Key Responsibilities
- Design, execute, and analyze incrementality experiments to isolate the impact of Audiohook’s advertising solutions.
- Build and maintain robust marketing mix models that quantify channel contributions and inform bidding strategies.
- Apply causal inference techniques to translate statistical findings into actionable product and optimization insights.
- Collaborate with Engineering, Product, Sales, and Customer Success to embed measurement into operational workflows.
- Communicate complex analytical results to stakeholders through clear visualizations and concise reports.
Requirements
- Strong programming skills in Python and SQL for data manipulation and model development.
- Proven experience with machine learning, causal inference, and marketing mix modeling in a commercial setting.
- Hands‑on expertise in A/B testing frameworks and experimental design.
- Excellent analytical thinking, problem‑solving, and data storytelling abilities.
- Ability to work cross‑functionally and influence product direction through data‑driven insights.
Skills
pythonsqlmachine learningdata analysis