Data Scientist - Growth airbnb
THIS JOB HAS EXPIRED Note: Due to volume of applications we receive, we kindly ask that you only apply to a maximum of one Data Scientist role from among the four posted: Trust and Safety; Payments and Compliance; Growth; and Search. This does not preclude you from being considered for multiple roles. Thank you.
Airbnb has grown into a global platform that now connects travelers and hosts from over 34,000 cities. Continuing to grow this network for users from so many diverse geographies, cultures, and languages presents unique challenges.
We are seeking a talented and proven analytics expert to help investigate our data to help grow Airbnb's community. The candidate would work cross-functionally with other teams to optimize our acquisition channels and onboarding flows. Some projects we're currently tackling include: amplifying word-of-mouth referrals, balancing supply and demand with targeted marketing, personalizing emails to engage users, and tailoring the user experience across different languages and devices.
This role has the potential for massive impact on Airbnb's growth trajectory. If you have a background in big data and are interested in applying it to grow Airbnb, we want to hear from you.
2+ years professional experience
Proven achievements resulting from data analysis
Degree in computer science, applied math, physics, economics, or other quantitative science (graduate degree a plus)
Experience with languages used for querying (e.g. Hive/Pig/SQL), preprocessing (e.g. unix/python), and statistical analysis (e.g. R/Matlab/Stata)
Proven ability to succeed in both collaborative and independent work environments.
Nice to have: experience with experiment design, machine learning, natural language processing, time series analysis/forecasting, GIS, survey design, creative data visualizations.
$2000 yearly employee travel coupon
Paid time off
Medical, dental, & vision insurance
Life & disability coverage
Flexible Spending Accounts
Daily breakfast, lunch, and dinner
Weekly happy hour
||San Francisco, CA |
THIS JOB HAS EXPIRED