Data Scientist - Inference, Community Support

Навыки

• Общение с клиентами
• Решения на данных
• Лидерство
• Machine Learning
• Управление проектами
• Python
• SQL

О компании и продукте

• Airbnb is a mission-driven company dedicated to creating a world where anyone can belong anywhere. Our Community Support (CS) team is at the heart of that mission—delivering seamless, 10-star customer service experiences complemented by world-class, personalized human support that empowers hosts and guests at every step of their journey.
• As a Data Scientist working on Causal Inference in CS, you will have the opportunity to collaborate with a strong team of engineers, product managers, designers and operation agents to enable personalized, fair and exceptional experience for guests & hosts using advanced causal inference analysis for Community Support.
• Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

Задачи

• We're looking for a motivated and talented Data Scientist with strong causal inference expertise to join the Community Support Data Science team
• You'll partner closely with the area's tech lead on high-impact projects spanning AI-powered products, differentiated service, and operations optimization
• The ideal candidate brings sharp applied inference intuition, a bias toward impact, and the ability to cut through ambiguity to drive clarity in complex problem spaces
• You’ll work on high-impact projects like
• Design rigorous experiments & quasi-experiments to measure the causal impact of CS product launches and drive data-informed launch decisions
• Build causal ML models to optimize Make Goods budget allocation and maximize business impact
• Conduct causal inference analyses to quantify the long-term effects of product changes and uncover heterogeneous treatment effects
• Deliver strategic insights on quality-cost tradeoffs, empowering leadership to deliver the best possible support experience to our community
• A Typical Day
• Inference & Measurement: Design and implement causal inference frameworks and statistical models to measure the impact of interventions, evaluate system performance and uncover opportunities for improvement
• Modeling: Build, evaluate and iterate on causal ML models that power high-stakes decisions, applying best practices across the full model lifecycle from feature engineering to production deployment
• Optimization: Develop frameworks to analyze tradeoffs between competing objectives (accuracy, coverage, user experience and operational cost), and propose strategies to improve overall effectiveness
• Collaborate Cross-Functionally: Build strong relationships with cross-functional partners across Product, Design, Engineering, Operations, and Analytics to drive collaboration and innovation
• Influence Decisions: Communicate learnings to leaders and stakeholders in a clear, compelling manner that drives informed, data-driven decision-making
• Empowerment: 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

Требования

• 2+ years of industry experience in a quantitative analysis role with a Master's degree in a quantitative field (statistics, economics, computer science, etc.), or PhD in relevant fields
• Strong knowledge of causal inference and experimental design
• Strong knowledge of Bayesian modeling and statistical inference
• Hands-on experience building and deploying statistical or ML models in production environments
• Skilled in statistical programming (Python/R) and database usage (SQL)
• Proven ability to communicate clearly and effectively to audiences of varying technical levels
• Ability to translate complex findings into compelling narratives that drive impact
• Excellent project management, communication and collaboration skills
• Your Location
• This position is US - Remote Eligible
• The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager
• While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity
• This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list
• If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from

Условия

• Our job titles may span more than one career level
• The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands
• The base pay range is subject to change and may be modified in the future
• This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits
• Pay Range
• 151,000 — $175,000 USD

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