Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
Data Pipelines
Data Science @ 6
Experimentation @ 7
GEO @ 7
Marketing @ 7
Python @ 6
R @ 6
SQL @ 6
Statistics @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Role Overview
We are seeking an experienced (Contract) Sr. Data Scientist for a 24 month contract with deep expertise in marketing measurement, with a particular focus on Marketing Mix Modeling (MMM) and geo-based causal inference.
The ideal candidate brings strong statistical intuition and hands-on modeling experience to quantify the incremental impact of Airbnb's marketing investments across channels and geographies. They are fluent in Python, comfortable working with Bayesian frameworks, and can translate complex measurement findings into clear, actionable recommendations for senior stakeholders.
Responsibilities
- Marketing Mix Modeling: Design, build, and maintain MMM models that estimate incremental channel contributions, including prior elicitation, adstock/saturation modeling, validation, and sensitivity analysis.
- Geo-Based Measurement: Develop and analyze geo-experiments (synthetic control, difference-in-differences) to measure marketing incrementality and validate MMM outputs.
- Measurement Infrastructure: Build and maintain data pipelines and automated measurement systems ensuring reproducibility and scale.
- AI-Accelerated Prototyping: Use AI agent workflows to rapidly develop v0 prototypes and spec-driven model implementations—compressing weeks of iteration into days.
- Productionalization: Refine research prototypes into production-grade systems with proper unit testing, data validation, and code review standards.
- Insight Communication: Translate complex measurement findings into clear narratives and confident budget recommendations for Marketing and Finance stakeholders.
Requirements
- 5+ years of industry experience in a quantitative analysis role with a Master’s degree in a quantitative field (computer science, statistics etc.), or 2+ years of experience with a Ph.D.
- Deep, hands-on experience building and validating Marketing Mix Models in a production setting.
- Strong working knowledge of causal inference methods, including geo-experimentation and observational approaches.
- Proficiency in Python and R for statistical modeling, and SQL for data manipulation.
- Ability to communicate complex concepts clearly to stakeholders at varying technical levels.
- Proven track record of solving business problems through data science methods.
Preferred Expertise
- Passion for marketing and consumer science, with a desire to stay informed about the latest advances in the field.
- Familiarity with Bayesian modeling and its applications in marketing.
- Working knowledge of AI coding agents for accelerating prototyping, spec-driven development, and multi-agent workflows.
- Experience in developing end-to-end models for data-driven decision-making.
Location
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager.
While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity (the list of excluded states is continuously evolving).
Compensation
- Pay Range: $140—$150 USD
Additional Information
The actual hourly rate is dependent upon many factors (education, experience, and skills) and is subject to change. This role may be eligible for bonus, equity, benefits, and Employee Travel Credits.