Data Scientist Transportation 1751 views

They are expanding the Airbnb offering by creating an end-to-end transportation experience for travelers that’s simple, seamless, and inspiring. Never in the history of the online travel industry has a transportation business started with millions of customers and they see this as a monumental opportunity. Transportation is a new team at Airbnb and they know founding team members have a tremendous influence on their long-term success. Your contributions will help establish a major component of the travel offering at Airbnb both within the product and at the company. They are looking for talented, ambitious and passionate data scientists with a deep respect for their craft and the desire to deliver world-class user experiences to join the team.

Responsibilities

• • Partner directly with product and engineering leadership to define and evaluate key success metrics for Transportation’s 3-year strategy
  • Translate complex findings and results in a compelling narrative for new business and offering on Airbnb
  • Communicate analyses and recommendations to cross-functional stakeholders for decision making
  • Strategize on making analyses easily repeatable and accessible
  • Investigate challenging questions around user experience to understand the voice of their user
  • Create the inputs that help their finance lead develop, include market data and 3rd party data to scenario build what their partnerships look like
  • Collaborate with top-notch functional partners to define and deliver creative new solutions to Transportation problems
  • Collaborate across the product and business to deliver value to their guests through a cohesive experience on Airbnb

Qualifications

• Professional industry experience in a quantitative analysis role (10+ years preferred)
• Ability to define relevant metrics that can guide and influence stakeholders to the appropriate and accurate insights
• Comfortable in SQL and some experience with a programming language, with Python or R a plus
• Actively coached and mentored team members in their careers
• Ability to model and run experiments are a plus