Senior Data Scientist, Causal Inference

🕒 April 15

🇺🇸 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

• 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.

🎯 Requirements

• 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)

🏖️ Benefits

• 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.