Head of Data Science, China

Beijing, China

Applications have closed

Airbnb

Dec 23, 2023 - Find the perfect place to stay at an amazing price in 191 countries. Belong anywhere with Airbnb.

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About Airbnb

Airbnb is a community based on connection and belonging—a community that was born in 2008 when two hosts welcomed three guests to their San Francisco home, and has since grown to 4 million hosts who have welcomed over 800 million guest arrivals to about 100,000 cities in almost every country and region across the globe. Hosts on Airbnb are everyday people who share their worlds to provide guests with the feeling of connection and being at home. At Airbnb, we believe that hosts, guests and the communities where we operate are all stakeholders we have a responsibility to serve, and that by serving them alongside our employees and investors, we will build an enduringly successful company.

About Airbnb China

The company has increased its investment in China and historically experienced rapid growth since officially entering the market at the end of 2015. Airbnb continues to focus on product localization and innovation to better serve local users and enhance the user experience, nurture a trusting local community, and engage Chinese Millennial travelers with inspiring brand moments. As one of the leaders in the home sharing industry, Airbnb works with partners across many fields to actively promote the sustainable development of this emerging industry and achieve win-win results for everyone. Airbnb will continue to build an efficient local team, bringing the authentic travel experience to Chinese travelers.

As the function head of data science, you’ll have the potential for massive impact, influencing key strategic decisions by bringing data to the table when it matters most. You will inspire new changes to the product through proactive exploration of the data, and frame your recommendations with a clear view into the assumptions you have made and the rigor employed in the analysis. You will lead a team of elite Data Scientists with specialized backgrounds in analytics, algorithm, statistics and economics and collaborate with a strong team of Engineers,Product Managers and Business owners by leveraging Airbnb’s rich data and state-of-art data science infrastructure. 

This is a leadership role. The responsibilities for this role includes:

  • Build and grow a talented data scientist team across Beijing and San Francisco.
  • Lead data engineering and analytics technology strategy across the teams
  • Lead the team to establish and enhance our data-informed decision making framework
  • Lead the team to uplevel the understanding of guest/host pain points and identify the opportunity to improve their experience. 
  • Lead the team to deliver core marketplace platform capability with strong data insights and algorithm models, like ranking, pricing, anti-fraud, and customer support products.
  • Lead the team to guardrail the values of our overall marketplace and understand tradeoffs among multiple parties

Some examples of traits we are looking for:

  • 4+ years of management experience required
  • 7+ years industry experience developing machine learning models at scale from concept to business impact. 
  • Advanced degree in Computer Science, Statistics, Applied Math, Economics or related quantitative fields preferred
  • Deep understanding of statistical learning techniques, optimization and causal inferences.
  • Demonstrated expertise in strategic analysis to influence key decision making
  • Executive communication skills
  • Keen eye for detail and thoughtful investigation of data before relying upon it

We’ve already seen tremendous growth, but we are still very early in our journey. If you have a proven background in the field of product analytics, are interested in making a significant impact and passionate about redefining the future of travel, we're excited to hear from you.

Tags: Computer Science Economics Engineering Machine Learning ML models Statistics

Perks/benefits: Career development

Region: Asia/Pacific
Job stats:  7  0  0
Category: Leadership Jobs

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