Senior Data Scientist, Platform Inference - MarTech DS Measurement (Contract)
at Airbnb
USD 140-150 per hour
Used Tools & Technologies
Not specified
Required Skills & Competences
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.
Marketing @ 4
Python @ 6
SQL @ 6
R @ 6
Data Science @ 4
Experimentation @ 7
AI @ 4
Data Pipelines @ 4
- 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
MarTech Data Science Measurement empowers Airbnb to optimize marketing ROI by generating data-driven recommendations. The team defines and advances best practices for measuring and optimizing marketing impact and collaborates with Marketing, Finance, and Engineering to provide actionable recommendations and tools based on effective, timely, and granular measurements.
Responsibilities
- Design, build, and maintain Marketing Mix Models (MMM) that estimate incremental channel contributions, including prior elicitation, adstock/saturation modeling, validation, and sensitivity analysis.
- Develop and analyze geo-experiments (synthetic control, difference-in-differences) to measure marketing incrementality and validate MMM outputs.
- Build and maintain data pipelines and automated measurement systems ensuring reproducibility and scale.
- Use AI agent workflows to rapidly develop v0 prototypes and spec-driven model implementations to accelerate iteration.
- Refine research prototypes into production-grade systems with proper 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
- 5+ years of industry experience in a quantitative analysis role with a Master’s degree in a quantitative field, 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.
- Comfortable working with Bayesian frameworks for modeling and analysis.
- Proven track record of solving business problems through data science methods and communicating complex concepts clearly to stakeholders.
Preferred Expertise
- Passion for marketing and consumer science and staying current with advances in the field.
- Familiarity with Bayesian modeling 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
- US - Remote Eligible. Role may include occasional work at an Airbnb office or attendance at offsites. You must live in a state where Airbnb, Inc. has a registered entity. Offices: United States.
Compensation
- Hourly pay range: $140—$150 USD. The actual hourly rate depends on factors such as education, experience, and skills. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Inclusion & Accessibility
- Airbnb is committed to inclusion and encourages applicants from diverse backgrounds. Reasonable accommodations for applicants with disabilities are available via the provided contact email.