Senior Data Scientist, Trust – Inference

🕒 August 6

🇺🇸 United States – Remote

💵 $179k - $210k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Airbnb

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2007

✈️ Travel

📦 Logistics

🛍️ eCommerce

💰 Post-IPO Equity on 2020-12

Travel • Logistics • eCommerce

Airbnb is a global online marketplace that connects people looking for accommodation with hosts offering unique and diverse lodging options, often in residential properties. Users can book spaces ranging from one-bedroom apartments to entire homes and boutique hotels. Airbnb also offers experiences, allowing guests to book activities hosted by locals, providing an authentic travel experience.

📋 Description

• Design and implement measurement and evaluation frameworks to understand the impact of Trust defenses and uncover opportunities for improvement • Lead the design and analysis of experiments and quasi-experiments 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 machine learning systems • Generate insights on the effectiveness of Trust defenses and translate them into strategic recommendations for product roadmaps and policy decisions • Deliver leadership-ready research with rigorous analysis, compelling data visualizations, and clear narratives • Communicate methodological tradeoffs to technical and non-technical audiences across product, engineering, policy, and operations • Scale and evolve data science capabilities within the domain and contribute to the long-term vision for how science drives platform outcomes

🎯 Requirements

• 5+ years of industry experience in a quantitative analysis role with a Master’s degree in a quantitative field, or 2+ years of experience with a PhD in relevant fields • Deep expertise in experimentation and causal inference • Strong knowledge of Bayesian modeling, measurement, uncertainty quantification, and decision-making • Proven ability to design and lead experimentation programs in complex environments • Experience collaborating with and influencing cross-functional stakeholders • Skilled in statistical programming and database usage • Strong coding skills in SQL and Python or R • Ability to translate complex methodological findings into actionable insights and compelling narratives • Excellent judgment in navigating ambiguity, scoping problems, and driving impact through influence

🏖️ Benefits

• Bonus eligibility • Equity eligibility • Benefits • Employee Travel Credits • Occasional attendance at offsites • Disability accommodations during the application and interview process