This job has expired, please see additional jobs below
Data Scientist
Airbnb
San Francisco, CA, United States
Job Details - this job has expired, please see similar jobs below
Data Scientist - Analytics, Lux
The Lux Team is focused on creating a brand new business within Airbnb: a product for the Luxury travel segment. We're re-imagining the Luxury space, and deciding how Luxury Retreats and Airbnb can join forces to create the best Luxury travel experience possible. You will be working on analytics projects across the business, building out, almost from scratch, all data science and analytical capabilities to drive the growth of the business, working across supply, the guest experience, and the operational teams.
As a Data Scientist for Lux, you’ll have the potential for massive impact, influencing key strategic decisions by bringing data to the table when it matters most. You will influence new changes to the product through proactive exploration of the data, and frame your recommendations with a clear view into the assumptions you have made and the rigor employed in the analysis. You will collaborate with a strong team of engineers and product managers and leverage Airbnb’s rich data and state-of-art data science infrastructure.
We have an incredible team of Data Scientists, our work is highly sought-after, and our impact on the business is tremendous. If you have a proven background in this field and are excited to help build Airbnb’s community, we want to hear from you.
Some examples of traits we are looking for:
• 2+ years in industry in a highly analytical role
• Demonstrated expertise in strategic analysis to impact decisions
• PhD, Masters degree in a quantitative field, or equivalent work experience to develop expertise in a quantitative field
• Proficient in analytical tools such as Python or R
• Keen eye for detail and thoughtful investigation of data before relying upon it
Benefits:
• Stock
• Competitive salaries
• Quarterly employee travel coupon
• Paid time off
• Medical, dental, & vision insurance
• Life insurance and disability benefits
• Fitness discounts
• 401K
• Flexible Spending Accounts
• Apple equipment
• Commuter subsidies
• Community involvement (4 hours per month to give back to the community)
• Company sponsored data talks
• Breakfast, lunch, and dinner
• Much more...