Senior Data Scientist, Guest & Host

Airbnb · RemoteRemotosenior

En corto

▸Científico de datos senior que construye modelos y productos para mejorar la experiencia de huéspedes y anfitriones en Airbnb.
▸Día a día: colaborar con producto, ingeniería y diseño, desarrollar modelos con Python/SQL, aplicar inferencia causal y comunicar hallazgos a líderes.
▸Destacado: impacto directo en millones de usuarios mediante sistemas de precios, recomendaciones y herramientas de crecimiento del mercado.

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

¿Qué piden?

✓5+ años de experiencia (con grado de licenciatura) o 2+ años (con doctorado)
✓Experiencia en experimentación, análisis causal y machine learning
✓Capacidad para colaborar con equipos de producto, ingeniería y diseño
✓Habilidades sólidas en Python, SQL o R
✓Capacidad para prototipar, construir y escalar activos de datos
✓Comunicación efectiva de conceptos técnicos a audiencias no técnicas

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

PythonSQLRAI toolsmachine learningcausal inferenceexperimentationdata modelingdata productsmeasurement frameworks

¿A quién escribirle en Airbnb?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

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. The Community You Will Join: You will join a collaborative team of data scientists, analysts, engineers, product managers and designers who build innovative products for Airbnb guests and hosts. Your core team will consist of data scientists within the Guest & Host Data Science organization, who develop models, measurement frameworks, foundational data products, and intelligence to improve and shape Airbnb marketplace and product. The Difference You Will Make: Under this general application, you will be considered for applications over several tracks. • Pricing Data Science - Responsible for developing a pricing guidance system for hosts, as well as methods (experimental and observational) to measure the impact of pricing feature launches. • Guest and Host Product Data Science - Responsible for building optimized products, tools, and programs that empower our hosts to thrive on our platform and our guests to easily discover and book stays that match their needs. • Marketplace Data Science - Responsible for building data products, inference frameworks, and intelligence to enable the growth of our marketplace. As a data scientist on the team, you will directly impact the Airbnb user community and marketplace with the data products and insights you deliver. Your work may range from building models to understand the impact of supply and demand on marketplace outcomes, to applying causal inference methods to measure the impact of a new pricing guidance tool, to generating destination recommendations based on our understanding of guest travel preferences. A Typical Day: • Building strong relationships with cross-functional partners across Product, Design, Engineering, and Analytics to drive collaboration and innovation. • Contribute directly to the development and launch of data-driven products and models, leveraging AI tools to enhance efficiency and impact. • Writing software in Python, SQL, or R to model, simulate, and measure the impact of new features, applying advanced causal inference techniques where necessary. • Analyzing structured or unstructured data to uncover meaningful insights and craft actionable proposals that help shape strategy. • Communicating learnings to leaders and stakeholders in a clear, compelling manner that drives informed data-driven decision making. Your Expertise: • 5+ years of experience with BS/masters degree, 2+ years of experience with PhD. • Experience with experimentation, causal observational analysis, and machine learning techniques. • Experience partnering with product, engineering, and design to enable data-driven model or product development. • Ability to prototype, build, and scale derived data assets. • Strong coding skills in SQL and either Python or R. • Strong oral and written communication skills - an ability to communicate complex technical concepts to a non-technical audience. • Work authorization (if applicable) • Travel requirements (if applicable) 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 Remo

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