Senior Data Scientist, Trust & Safety (Remote)

DeepCamp; Northern (KY); Hybrid; USD 179,000 - 210,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Employee Travel Credits

Job summary

Airbnb is seeking a technically exceptional Data Scientist to own high-visibility Trust data science initiatives. You will design measurement frameworks, lead experimentation programs, and build Bayesian models to quantify risk and guide policy decisions.

The role requires 5+ years in quantitative analysis or a PhD, strong SQL/Python/R skills, and the ability to translate complex findings into strategic recommendations for product and operations teams. Remote-friendly US-based position.

Qualifications

• 5+ years in quantitative data analysis or 2+ years with a PhD.
• Deep expertise in experimentation and causal inference.
• Strong knowledge of Bayesian modeling and uncertainty quantification.
• Experience leading experimentation programs with cross-functional partners.
• Proficient in statistical programming and databases (SQL, Python, or R).

Responsibilities

• Design and implement measurement and evaluation frameworks for Trust defenses.
• Lead design and analysis of experiments and quasi-experiments.
• Build and iterate Bayesian models to quantify risk and treatment effects.
• Provide insights to product roadmap and policy decisions.
• Communicate methods clearly to technical and non-technical audiences.
• Scale data science capabilities within the domain.

Skills

Experimentation

Causal inference

Bayesian modeling

Data storytelling

Stakeholder influence

Education

Master's degree in statistics/economics/computer science

PhD in relevant field

Tools

SQL

Python

R

Job description

Airbnb is seeking a technically exceptional Data Scientist to own high-visibility Trust data science initiatives. You will design measurement frameworks, lead experimentation programs, and build Bayesian models to quantify risk and guide policy decisions.

The role requires 5+ years in quantitative analysis or a PhD, strong SQL/Python/R skills, and the ability to translate complex findings into strategic recommendations for product and operations teams. Remote-friendly US-based position.