Senior Data Scientist, Trust – Inference

Airbnb

Senior Data Scientist analyzing Trust and security challenges at Airbnb. Designing and implementing data-driven solutions to enhance platform safety and user experience.

Posted 7/15/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $179,000 - $210,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in designing and implementing measurement frameworks, with a strong focus on Bayesian modeling and causal inference. Proven ability to communicate complex findings effectively to diverse audiences and drive strategic recommendations based on rigorous analysis.

Highest-signal resume keywords

Bayesian ModelingCausal InferenceStatistical ProgrammingSQLPython

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quantitative AnalysisExperiment DesignStatistical ModelingData VisualizationMeasurement Frameworks

Soft Skills

CollaborationInfluencing StakeholdersCommunicationJudgmentProblem-Solving

Industry Keywords

Trust DefenseA/B TestingComplex EnvironmentsData Science CapabilitiesStrategic Recommendations

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Design and implement measurement and evaluation frameworks to understand the impact of Trust defense, and uncover opportunities for improvement
Collaborating closely with cross-functional partners, lead the design and analysis of experiments and quasi-experiments in environments where standard A/B testing is challenging.
Build and iterate on statistical and Bayesian models that quantify risk, estimate treatment effects, and surface measurement gaps; provide causal interpretation of signals surfaced by ML systems
Generate deep insights on the effectiveness of Trust defenses and translate them into clear strategic recommendations for product roadmap and policy decisions
Deliver robust, leadership-ready research with rigorous analysis, compelling data visualizations, and clear narratives; effectively communicate complex methodological tradeoffs to both technical and non-technical audiences across product, engineering, policy and operations
Think strategically about how to scale and evolve data science capabilities within your domain, contributing to the long-term vision for how science drives platform outcomes

Requirements

What you’ll need

5+ years of industry experience in a quantitative analysis role with a Master's degree in a quantitative field (statistics, economics, computer science, etc.), or 2+ years of experience with PhD in relevant fields.
Deep expertise in experimentation and causal inference.
Strong knowledge of Bayesian modeling and its application to measurement, uncertainty quantification, and decision-making
Proven ability to design and lead experimentation programs in complex environments, collaborating with and influencing cross-functional stakeholders.
Skilled in statistical programming and database usage. Strong coding skills in SQL and python or R.
Demonstrated ability to translate complex methodological findings into actionable insights and compelling narratives for audiences of varying technical levels
Excellent judgment in navigating ambiguity, scoping problems, and driving impact through influence across cross-functional teams

Benefits

Comp & perks

health insurance
401(k) matching
Paid time off
Flexible work arrangements
bonuses
Employee Travel Credits