Lead Advanced Analytics, Guest Product

🕒 July 24

🇺🇸 United States – Remote

💵 $164k - $191k / year

⏰ Full Time

🟠 Senior

📊 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

• Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches. • Apply technical expertise with quantitative analysis, experimentation, data mining, forecasting and the presentation of data to identify trends and patterns that can inform decision-making. • Collaborate closely with Product, Engineering, Finance, Marketing, Operations, Data Science, Advanced Analytics, Data and Analytical Engineering, Capacity Planning and other cross-functional teams to provide actionable insights. • Design, execute, and analyze experiments to measure feature impact and guide product iterations. Leverage causal methods when traditional randomized trials aren’t available. • Design and build metrics / dimensions to monitor product and business performance. • Build sophisticated reporting and analytical tools that empower stakeholders to make data-driven decisions. • Present findings and recommendations to stakeholders, including senior leadership, in a clear and concise manner. • Stay up-to-date with the latest industry trends and advancements in quantitative and qualitative data analysis techniques. • Leverage AI to automate repetitive tasks and empower stakeholders.

🎯 Requirements

• 6+ years of industry experience with a degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research) • Prior experience in an advanced analytics or product data science role • Exceptional business acumen, strategic thinking skills, and the ability to conduct rigorous analysis and make informed judgments • Excellent communication skills, capable of engaging with a variety of stakeholders and conveying complex concepts in an accessible manner • Proven stakeholder management skills, with the ability to collaborate and influence across functions • Experience partnering with product teams to drive action and providing expertise and direction on analytics, data science, experimental design, and measurement • Experience in analysis of A|B experiments and statistical data analysis • Experience designing and building metrics, from conception to building prototypes with data pipelines • Strong expertise in at least one programming language (Python or R) and SQL • Experience with AI-assisted analytics (Claude, ChatGPT, etc) • An agile, growth-minded approach, demonstrated through a history of driving projects from ideation to impact.

🏖️ Benefits

• Bonus • Equity • Employee Travel Credits