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Data Scientist - Analytics, Airbnb for Work

Airbnb

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Job Details

Location: 888 Brannan St, San Francisco, CA 94103, USA Posted: Feb 25, 2020

Job Description

Airbnb has become a global platform that connects travelers and hosts from over 81,000 cities. Our mission is to enable a world where anyone can belong anywhere. Expanding our community to new types of hosts is critical to our mission.

Airbnb’s mission is to make people around the world feel like they can belong anywhere. We want our guests to be able to find any type of place that they need, wherever they are — from private rooms for the social traveler to entire homes for the large family, from event spaces for an offsite to the perfect venue for that rustic wedding.

About Homes

The Homes Business focuses on helping guests experience the world in a more authentic and meaningful way by staying with gracious hosts who offer their own unique spaces and hospitality. Our guests connect with those hosts through the Airbnb marketplace, which is unlike any other in the world.

About Airbnb for Work

On Airbnb for Work , we strive to foster a sense of belonging in the workplace and to make it easy for all professionals to get out of the office to travel, connect and collaborate. Our team is responsible for building products to help companies and their employees experience the best of Airbnb, and bringing them to the world through marketing, sales, and other cross-functional initiatives.

We are seeking a data scientist to partner with our product managers, engineers, designers, senior business partners and other data scientists to drive the strategy of this crucial segment of our business. If you are passionate about leveraging data to drive product and business decisions, we want to hear from you!

Responsibilities include:

  • Identify/size growth opportunities and develop hypotheses
  • Develop robust metrics to inform strategy and decision-making
  • Create and maintain dashboards to provide insights to cross-functional partners
  • Measure the incremental impact of product changes and other initiatives through experiments and other causal inference techniques
  • Identify effective targeting and segmentation for marketing campaigns
  • Develop and iterate on machine learning models to personalize the experience for companies and business travelers
  • Identify opportunities to improve our supply for work travelers
  • Present results and recommendations to leadership

Qualifications:

  • 4+ years industry experience
  • Advanced degree in quantitative field preferred
  • A “business owner” mindset, with an ability to work cross-functionally and a keen interest in strategy and operations
  • Experience designing and analyzing experiments and using them to guide product decisions. Experience working on B2B products a plus!
  • Ability to communicate clearly both verbally and in writing
  • Fluency in the core toolkit of Data Science:
    • R/Python; SQL/Hive
    • Manipulating large-scale data sets
    • Building data pipelines
    • Descriptive and predictive modeling
    • Metrics development
    • Implementing visualizations, dashboards, and reports

Benefits

  • Stock
  • $2000 yearly employee travel coupon
  • Competitive salary
  • Paid time off
  • Medical, dental, & vision insurance
  • Life & disability coverage
  • 401K match
  • Flexible Spending Accounts
  • Apple equipment
  • Daily breakfast, lunch, and dinner
Apply now

About Airbnb

Create a world where anyone can belong anywhere It’s an audacious, incredibly rewarding mission that our increasingly diverse team is dedicated to achieving. Airbnb is built around the idea that everyone should be able to take the perfect trip, including where they stay, what they do, and who they meet. To that end, we empower millions of people around the world to use their spaces, passions, and talents to become entrepreneurs. Exciting challenges lie ahead—new regions, technologies, and businesses. Guided by our four core values, we’ll meet these challenges creatively and with the support of our global community. Join us!

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