# (Contract) Senior Data Scientist, Platform Inference - MarTech DS Measurement

**Company:** [Airbnb](https://hotfix.jobs/companies/airbnb)
**Location:** Remote
**Role:** Data Science
**Salary:** $140 – $150/hr
**Experience:** 5+ years
**Skills:** Python, R, SQL, Marketing Mix Modeling, Bayesian Modeling, Causal Inference, Geo-Experimentation, Synthetic Control, Difference-In-Differences, Data Pipelines
**Posted:** 2026-05-21

> Contract Senior Data Scientist building and maintaining Marketing Mix Models and geo-based causal inference experiments to measure marketing incrementality. Requires 5+ years experience, Python/R/SQL proficiency, and strong stakeholder communication skills.

## Job Description

## 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.
- **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

- 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.

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