Senior Data Scientist, Trust – Inference

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $179k - $210k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Airbnb

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2007

👥 B2C

🛍️ eCommerce

💰 Post-IPO Equity on 2020-12

B2C • eCommerce • Hospitality

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 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

• 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

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