Remote Otter LogoRemoteOtter

Staff Data Scientist, Marketplace Optimization and Ranking - Remote

Posted 14 hours ago
Data Analysis
Full Time
Worldwide
$194,000 - $240,000 USD/year

Overview

The Staff Data Scientist will join the Search and Personalization Data Science team at Airbnb, focusing on optimizing how guests discover homes through data-driven insights.

In Short

  • Develop models and frameworks for listing ranking and recommendations.
  • Design experiments to evaluate product changes.
  • Build scalable data products and pipelines.
  • Collaborate with cross-functional teams.
  • Mentor other data scientists.
  • Engage with stakeholders to provide data-driven solutions.
  • Focus on machine learning model development.
  • Present findings to stakeholders.
  • Set technical direction for modeling and experimentation.
  • Ensure product decisions are based on rigorous measurement.

Requirements

  • 9+ years of industry experience.
  • Master’s degree or PhD in a quantitative field.
  • Fluency in Python or R and SQL.
  • Experience with causal inference and machine learning.
  • Ability to work collaboratively and independently.
  • Strong communication skills.

Benefits

  • Competitive salary and potential for bonuses.
  • Equity options.
  • Employee Travel Credits.
  • Inclusive work environment.
  • Flexible work arrangements.
  • Opportunities for professional development.
Airbnb logo

Airbnb

Airbnb, founded in 2007, has transformed the way people travel by creating a trusted marketplace and travel community that connects over 4 million Hosts with more than 1 billion guests worldwide. The company offers unique stays and experiences, allowing guests to engage with local communities authentically. With a focus on building a world-class payments platform, Airbnb facilitates seamless transactions across 191 countries and 75 currencies, ensuring trust and ease of use for both guests and hosts. The company is committed to innovation, diversity, and inclusion, striving to attract a broad talent pool to enhance its products and services.

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