Senior Data Scientist, Causal Inference

🕒 Abril 15

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $179.000 - $210.000 / ano

⏰ Tempo Integral

🟠 Sênior

📊 Cientista de Dados

🦅 Patrocina Visto H1B

info

🗣️🇺🇸🇬🇧 Inglês obrigatório

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Airbnb

5001 - 10000 funcionários

Fundada em 2007

👥 B2C

🛍️ Comércio Eletrônico

💰 Post-IPO Equity em 2020-12

B2C • eCommerce • Hospitality

O Airbnb é um marketplace online global que conecta pessoas em busca de hospedagem a anfitriões que oferecem opções de estadia únicas e diversas, muitas vezes em propriedades residenciais. Os usuários podem reservar espaços que vão de apartamentos de um quarto a casas inteiras e hotéis boutique. O Airbnb também oferece Experiências, permitindo que hóspedes reservem atividades oferecidas por moradores locais, proporcionando uma experiência de viagem autêntica.

Descrição

• 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.

🎯 Requisitos

• 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)

🏖️ Benefícios

• 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. • This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

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