Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming
Airbnb is a mission-driven company dedicated to helping create a world where anyone can belong anywhere. It takes a unified team committed to our core values to achieve this goal. Airbnb's various functions embody the company's innovative spirit and our fast-moving team is committed to leading as a 21st century company.
About the position:
Trust is at the foundation of every Airbnb experience and as such we aim to make it the most trusted platform in the world. As such, experimentation is core to our growing business. We want to take a scientific approach to decision-making through careful hypothesis generation and testing and drive actions/refine strategies through insights from experimental analysis.
Our inference data scientists understand the complications of running experiments in a two-sided marketplace, power analysis and stopping criteria, and statistical models to improve power/significance. Another interesting problem space is understanding what to do when we are unable to conduct experiments. How do we understand the impact of something new? You will be deeply involved in the technical details of building highly available and real-time risk detection services to understand ever evolving attack vectors and to keep Airbnb a safe and trusted community.
Responsibilities:
Minimum Qualifications:
Preferred Qualifications:
The starting base pay for this role is between $180,000 and $245,000. The actual base pay is dependent upon many factors, such as: education, experience, and skills. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits
Airbnb Engineering & Data Science: Creative engineers and data scientists building a world where you can belong anywhere. Airbnb is a community based on connection and belonging—a community that was born in 2008 when two hosts welcomed three guests to their San Francisco home, and has since grown to 4 million hosts who have welcomed over 800 million guest arrivals to about 100,000 cities in almost every country and region across the globe. Host
San Francisco, CA, USA
2-4 year
San Francisco, CA, USA
4-6 year