Data Scientist, Algorithm, China

Beijing, China

Full Time
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Posted 6 days ago

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 a data scientist in algorithm, you will have the opportunity to leverage Airbnb’s rich data and state-of-art machine learning infrastructure to develop data products that are used by millions of users and propel the growth of our business. You will collaborate with a strong team of engineers, product managers and fellow data scientists in defining the frontier of data products in matching marketplaces. Data scientists will work on how to evaluate potential approaches, build features, algorithms, and determine metrics which are critical for machine learning models.

Sample projects include:

  • Improve search ranking features.
  • Determine novel metric to evaluate pricing models.
  • Build a new model to predict the quality of the guest trip experience.
  • Iterate and create new ML models to detect risky behaviors on the site.

Here are some qualifications we look for:

  • This position is based in Airbnb Beijing Office
  • 4+ years industry experience developing machine learning models at scale from inception to business impact. Leadership opportunities also available.
  • Advanced degree in quantitative fields such as computer science, statistics and operation research.
  • Deep understanding of modern algorithms and their mathematical underpinning, such as classification, personalization and revenue management.
  • Proven ability to tailor algorithmic solutions to business problems in a cross functional team.
  • Experience with distributed machine learning and computing framework (Spark, Mahout or equivalent). Applied experience preferred.
  • Strong programming skill (Python, R, or Scala preferred).
  • Experience productionizing machine learning model is a plus.

Airbnb爱彼迎公司简介

爱彼迎是一个致力于建立人际连接和创造归属感的社区。公司于2008年成立,从最初的2名房东在他们旧金山的公寓里接待3名房客,成长为如今拥有400多万房东的社区,累计接待8亿多次房客,足迹遍布全球的10万座城市。爱彼迎房东是与他人分享世界、让房客感受到家一般温暖的普通人。房东、房客和我们所在的社区皆是爱彼迎的重要利益相关方,我们会全力支持,携手与共。同时,我们还秉持着对员工和投资人负责的原则,努力打造一家基业长青的公司。 

爱彼迎中国简介

自2015年底正式进入中国市场以来,爱彼迎不断加大投入,实现了持续快速的增长。爱彼迎将继续升级本土产品,打造吸引千禧一代的创新品牌活动,提升用户体验,构建有凝聚力的社区。作为共享住宿行业的行业领导者之一,爱彼迎将携手各方,积极推动这一新兴行业的可持续发展,实现多方共赢。我们将继续打造高效的本土团队,为中国旅行者创造原汁原味的旅行体验。

作为算法岗位的数据科学家,你将有机会利用爱彼迎丰富的资料以及最先进的人工智能工具,开发数据产品服务用户并促进业务增长,并且与一群强大的工程师、产品经理、数据科学家一同开拓与定义数据产品以符合市场需求。你也会负责评估各种可能方案、实作功能与算法、定义算法模型指标。

范例项目包含:

  • 改善搜索排序功能
  • 定义有效指标评估订价系统
  • 建立算法模型预测客户旅行品质
  • 改善并建立新的算法模型侦测高风险行为

岗位要求:

  • 四年以上业界经验开发算法模型,参与从构思到提供商业价值。
  • 深入理解前沿算法技术与数学理论,包含分类、推荐系统、收益管理。
  • 熟悉分布式机器学习运算框架(如 Spark, Mahout),熟练开发技术(如Python, R, Scala)
  • 具有较强的建模能力,实际在跨功能团队中应用算法解决实际商业问题
  • 加分项:有把模型开发成产品经验
Job tags: Machine Learning ML Python R Research Scala Spark Travel
Job region(s): Asia/Pacific
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