# Senior Data Scientist - Payments

**Company:** [Airbnb](https://hotfix.jobs/companies/airbnb)
**Location:** Remote
**Role:** Data Science
**Salary:** $179k – $210k/yr
**Experience:** 5+ years
**Skills:** Causal Inference, Experimentation, Statistical Modeling, Machine Learning, Python, R, SQL, econometrics, quasi-experimental methods, predictive modeling, Data Visualization, llm evaluation, fraud risk
**Posted:** 2026-08-14

> The data scientist will lead causal inference, experimentation, statistical modeling, and machine-learning efforts to optimize payments, mitigate fraud, and guide product strategy. The role requires 5+ years of quantitative industry experience with a master’s degree, or 3+ years with a PhD.

## Job Description

## Responsibilities
- Lead quantitative measurement efforts and develop scientific approaches to guide payment decisions.
- Generate hypotheses, develop causal inference frameworks, and build and evaluate models for payment strategies.
- Focus on payments fraud mitigation and loss optimization.
- Develop and apply causal inference methods, including experiments, econometric regressions, and quasi-experimental methods.
- Build methods to evaluate ML and AI model efficiency and performance.
- Identify use cases for predictive models to classify, segment, and interpret user behavior.
- Support evaluation and optimization of agentic and LLM-based systems.
- Develop methodologies to simulate the impact of interventions and create data products that optimize product and operational strategies.
- Produce research reports and data visualizations.
- Collaborate with stakeholders, communicate findings, identify opportunities, and drive data and product roadmaps.
- Improve and scale brand measurement and customer insights.

## Requirements
- **5+ years** of industry experience in a quantitative analysis role with a **master's degree** in a quantitative field such as mathematics, economics, or statistics; or **3+ years** of experience with a **PhD**.
- Strong knowledge of causal inference, experimentation, applied statistical modeling, and end-to-end machine learning development.
- Experience with statistical programming in Python or R and database usage with SQL.
- Track record of owning a business or technical domain end-to-end, setting a roadmap, serving as an accountable expert, and driving problems to resolution.
- Ability to communicate clearly and effectively with audiences of varying technical levels.
- Ability to work independently, set a roadmap, and drive cross-functional alignment.

## Nice-to-haves
- Payments fraud or risk domain expertise.
- Experience evaluating agentic or LLM-based systems, including decision-quality measurement and human-in-the-loop calibration.

## Compensation and Benefits
- Base pay range: **$179,000–$210,000 USD**.
- May be eligible for bonus, equity, benefits, and Employee Travel Credits.

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