Senior Data Scientist, Platform Inference – MarTech DS Measurement

🕒 May 21

🇺🇸 United States – Remote

💵 $140 - $150 / hour

⏳ Contract/Temporary

🟠 Senior

📊 Data Scientist

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Airbnb

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2007

👥 B2C

🛍️ eCommerce

💰 Post-IPO Equity on 2020-12

B2C • eCommerce • Hospitality

Airbnb is a global online marketplace that connects people looking for accommodation with hosts offering unique and diverse lodging options, often in residential properties. Users can book spaces ranging from one-bedroom apartments to entire homes and boutique hotels. Airbnb also offers experiences, allowing guests to book activities hosted by locals, providing an authentic travel experience.

📋 Description

• 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.

🏖️ Benefits

• This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.