Data Scientist - Analytics, Core Host Organization

The Core Host organization at Airbnb is responsible for the end-to-end experience of core hosts, from creating awareness of hosting, to acquiring new hosts, to long-term retention of hosts. A core host is an individual owner who lists their space on Airbnb for the additional income, but also because they enjoy creating a sense of belonging for their guests. We are seeking a Data Scientist, Analytics to be a key member of the Core Host Data Science team. The business focus of the role will be on engaging prospective hosts when they land on the site, explaining the ease and benefits of hosting, and providing a frictionless experience of listing a space.

Some examples of projects include:

  • Strategy: Analyzing visitor data to propose new ways of increasing conversion
  • Measurement: Defining key performance indicators, and developing intuitive dashboards to monitor and diagnose the metrics that we want to improve
  • Personalization: Identifying new ways to segment visitors in order to create personalized experiences that address the particular interests of each segment
  • Product Experience: Using behavioral data to analyze the steps involved in listing a space, in order to identify points of friction, and to recommend product changes and other interventions that will improve the user experience and increase conversion

A day-in-the-life of a Data Scientist on the Core Host Data Science team is diverse, and can include any and all of these activities:

  • Analyzing data to shape business strategy
  • Designing and evaluating experiments to guide business decisions
  • Creating data pipelines
  • Creating dashboards
  • Developing data products to optimize business processes
  • Collaborating with, and influencing the decisions of, a broad range of technical and non-technical stakeholder

Qualities we value:

  • Professional industry experience in a quantitative analysis role (4+ years preferred)
  • Comfortable in SQL and some experience with a programming language, with Python or R a plus
  • Ability to communicate clearly and effectively to cross functional partners of varying technical levels
  • Ability to define relevant metrics that can guide and influence stakeholders to the appropriate and accurate insights
  • Experience or willingness to learn tools to create data pipelines using Airflow
  • Building clear and easy to understand dashboards (Tableau) and presentations
  • *Ability to model and run experiments are a plus for some roles

Benefits

  • Stock
  • $2,000 yearly employee travel coupon
  • Competitive salary
  • Paid time off
  • Medical, dental, & vision insurance
  • Life & disability coverage
  • 401K
  • Flexible Spending Accounts
  • Apple equipment
  • Daily breakfast, lunch, and dinner

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status


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