The opportunity
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…
What you'll do
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.
What they're looking for
- 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.
- + 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).