Airbnb-posted 4 months ago
$176,000 - $220,000/Yr
5,001-10,000 employees

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 that make it possible for guests to connect with communities in a more authentic way. The Community Blueprint is a team under Global Operations that aims to improve the quality of the end-to-end customer journey and bridge team silos across product, operations, and policy. To do this, we need to be experts in the guest and Host experience and in how product, operations, and policies function together to deliver the Airbnb experience. As part of the Community Blueprint team, your role will be instrumental in driving data-driven decision-making, connecting data across product & operations, and enhancing the guest and Host experience.

  • 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, Operations, Data Science, Product Insights Analysts, Data and Analytical Engineering, Capacity Planning and other cross-functional teams to provide actionable insights.
  • Develop and implement advanced forecasting models to not only predict key performance metrics but also understand the metric’s actual performance.
  • 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.
  • 10+ 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).
  • Deep technical expertise in data and statistical analysis, experimentation, causal inference, forecasting methods, and familiarity with LLMs.
  • Proficiency in programming languages such as Python or R for data analysis and modeling.
  • Experience working with large datasets and SQL for data extraction and manipulation.
  • Self-starter, thrives in ambiguity, and has an investigator mindset of wanting to get to the bottom of problems.
  • Strong problem-solving and critical thinking abilities, with a keen attention to detail.
  • Excellent communication and presentation skills, with the ability to effectively communicate complex concepts to both technical and non-technical stakeholders.
  • Exceptional stakeholder management skills, with a proven ability to collaborate and influence across functions.
  • An agile, growth-minded approach, demonstrated through a history of driving projects from ideation to impact.
  • Robust business acumen, strategic thinking skills, and the ability to make informed judgments.
  • Prior experience in the technology industry or a fast-paced, data-driven environment is preferred.
  • Base pay range of $176,000—$220,000 USD.
  • Bonus eligibility.
  • Equity options.
  • Employee Travel Credits.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service