Contract Senior Data Scientist, Platform Inference - MarTech DS Measurement

at Airbnb

📍 United States

USD 140-150 per hour

SENIOR

✅ Remote

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 @ 4 Experimentation @ 7 GEO @ 7 Marketing @ 7 Python @ 6 R @ 6 SQL @ 6 Statistics @ 6

Details

Airbnb is seeking an experienced Senior Data Scientist for a 24-month contract on the MarTech Data Science Measurement team. The team helps optimize marketing ROI by generating data-driven recommendations and advancing best practices for measuring and optimizing marketing impact. The role collaborates with Marketing, Finance, and Engineering to deliver actionable, timely, and granular measurement insights.

Responsibilities

Design, build, and maintain Marketing Mix Modeling (MMM) models to estimate incremental channel contributions, including prior elicitation, adstock and saturation modeling, validation, and sensitivity analysis.
Develop and analyze geo-experiments, including synthetic control and difference-in-differences methods, to measure marketing incrementality and validate MMM outputs.
Build and maintain data pipelines and automated measurement systems that ensure reproducibility and scale.
Use AI agent workflows to rapidly develop v0 prototypes and spec-driven model implementations.
Refine research prototypes into production-grade systems with unit testing, data validation, and code review standards.
Translate complex measurement findings into clear narratives and confident budget recommendations for Marketing and Finance stakeholders.

Requirements

At least 5 years of industry experience in a quantitative analysis role with a master’s degree in a quantitative field such as computer science or statistics, or at least 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

Interest in marketing and consumer science, with a desire to stay informed about 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 developing end-to-end models for data-driven decision-making.

Location and Work Policy

US - Remote Eligible.
The role may include occasional work at an Airbnb office or attendance at offsites, as agreed with the manager.
Candidates must live in a state where Airbnb, Inc. has a registered entity. If the position is employed by another Airbnb entity, the recruiter will provide information about eligible states.

Compensation

Hourly pay range: $140–$150 USD.
The actual hourly rate depends on education, experience, and skills and may change in the future.
The role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.