Data Scientist – Inference, Community Support

🕒 July 15

🇺🇸 United States – Remote

💵 $151k - $175k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Data Scientist

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Airbnb

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2007

✈️ Travel

📦 Logistics

🛍️ eCommerce

💰 Post-IPO Equity on 2020-12

Travel • Logistics • eCommerce

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 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. • Design and implement causal inference frameworks and statistical models to measure the impact of interventions, evaluate system performance and uncover opportunities for improvement. • 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. • Develop frameworks to analyze tradeoffs between competing objectives (accuracy, coverage, user experience and operational cost), and propose strategies to improve overall effectiveness. • Build strong relationships with cross-functional partners across Product, Design, Engineering, Operations, and Analytics to drive collaboration and innovation. • Communicate learnings to leaders and stakeholders in a clear, compelling manner that drives informed, data-driven decision-making. • 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

• 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.

🏖️ Benefits

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