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Data Scientist - Inference, Payments
Airbnb
San Francisco, CA, United States
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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 those posted. This does not preclude you from being considered for multiple roles. Thank you.
Airbnb has become a global platform connecting people to unique travel experiences, at any price point, in more than 34,000 cities and 190 countries. Continuing to profitably grow this network for users from so many different countries requires robust data products.
The data scientists in this space work on growing Airbnb profitably by addressing questions like which payment methods to adopt to stimulate growth, how to optimize transaction routing to processors, how to find anomalies in transactions, how to optimize our fees/pricing of existing products, how to determine fees for new products.
This role has the potential for massive impact on Airbnb's profitability. You will collaborate with a strong team of engineers and product managers and leverage Airbnb’s rich data and state-of-art machine learning infrastructure. You will develop data products that are used by millions of users and propel the profitable growth of our business.
Experience
• Training in a quantitative science, including applied math, statistics, operations research, economics, or computer science. PhD preferred.
• 3 years industry experience (or 1 year with PhD).
• Experience with languages used for querying (e.g. Hive/Pig/SQL), preprocessing (e.g. python), and statistical analysis (e.g. R/Python)
• Proven achievements resulting from data analysis and ability to succeed in both collaborative and independent work environments.
• Nice to have: experience with data ETL, building and maintaining data pipelines.
• Nice to have: experience with payments, pricing, financial analysis, optimization, machine learning.
Benefits
• Stock
• $2,000 yearly employee travel coupon
• Competitive salary
• Paid time off
• Medical, dental, & vision insurance
• Life & disability coverage
• 401K
• Flexbile Spending Accounts
• Apple equipment
• Daily breakfast, lunch, and dinner