Senior Data Scientist, Payments

Airbnb

Confirmed live 2 days ago High trust

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $179,000–$210,000 / yr
Posted: 28 days ago
Freshness: Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $176k

This role $194k

$121k most similar roles pay here $236k

This role pays more than 63% of similar roles. Most pay $138,750–$214,000 — the shaded band above. At the midpoint, this role pays about $194k versus about $176k for comparable roles.

Based on 240 similar postings.

Employer

About Airbnb

Founded in 2008 and formerly known as AirBed & Breakfast, Inc., Airbnb is a global marketplace connecting travelers with hosts who offer unique accommodations, ranging from private rooms to entire homes. It operates a massive digital platform for booking stays, experiences, and travel services worldwide.

Airbnb currently has 65 open roles on FindRole.

Listed pay typically runs $200,000–$240,000 across 51 roles with salary data.

Most-posted roles

View all roles at Airbnb

At a glance

TL;DR · Senior Data Scientist, Payments

Role Posting Log in to save

As a Senior Data Scientist - Payments (Inference), you will join the Payments Data Science organization to power systems that move money safely and efficiently across a global marketplace. You will lead quantitative measurement efforts, perform hypothesis generation, and develop causal inference frameworks to drive payment strategies, specifically focusing on fraud mitigation and loss optimization. Your daily work involves applying experimental, econometric regressions, and quasi-experimental methods to measure product impacts while building predictive models to classify and interpret user behavior. You will also evaluate agentic and LLM-based systems to optimize business outcomes. The role requires expertise in Python or R, SQL, and advanced statistical modeling. You must be able to translate complex findings into actionable insights for stakeholders, solving intricate problems regarding risk management and payment safety within a two-sided marketplace environment.

What does a Data Scientist earn in Remote?

Median $217225 from 40 postings across 18 companies.

See salary data

Skills

Causal Inference Machine Learning Python R SQL LLM Statistical Modeling Experimentation Data Visualization Econometric Regression Data Science

What you'll do

Develop and apply causal inference methods to measure the impact of platform and product changes.
Build and evaluate machine learning models to classify, segment, and interpret user behavior.
Evaluate and optimize the performance of agentic and LLM-based systems.
Create data products and methodologies to simulate the impact of new interventions on payment strategies.
Develop novel metrics and frameworks to measure outcomes while balancing competing business trade-offs.
Conduct deep root cause investigations and long-term impact measurements for fraud and risk mitigation.
Translate complex data findings into actionable insights and visualizations for non-technical stakeholders.
Own the end-to-end roadmap for specific technical domains to drive product and operational improvements.

What we're looking for

Hold a Master's degree in a quantitative field with 5+ years of experience or a PhD with 3+ years of experience.
Possess strong knowledge of causal inference, experimentation, applied statistical modeling, and end-to-end machine learning development.
Proficiency in statistical programming using Python or R and database usage via SQL.
Demonstrated track record of owning a business or technical domain end-to-end and driving projects to resolution.
Proven ability to communicate complex findings clearly to audiences with varying levels of technical expertise.
Ability to work independently, set your own roadmap, and drive cross-functional alignment.
Payments Fraud/Risk domain expertise (preferred).
Familiarity with evaluating agentic or LLM-based systems (preferred).

Save