Job Description
Unlock the Power of Data to Revolutionize Safety and Trust
Airbnb is on a mission to create a world where anyone can belong anywhere. As a Senior Data Scientist on our Trust team, you will play a pivotal role in shaping the future of safety and trust on our platform. Collaborate with a talented team of engineers, product managers, designers, and operation agents to build scalable and robust systems that detect and mitigate real-world safety risks.
Key Responsibilities:
- Develop and deploy machine learning models to detect high-risk activities and uncover valuable insights from user behavior
- Work cross-functionally to define and collect labels for model training, optimize manual review effectiveness, and build self-satisfiable verifications that scale
- Design and implement measurement strategies to test new product features that deter and mitigate risk while adhering to ethical guidelines
- Apply state-of-the-art innovations to uplevel Airbnb's approaches to technical problems and publish externally to advance our standing in the scientific community
- Present work internally to technical, engineering, and product stakeholders to iterate and generate excitement on roadmap progress
Requirements:
- Advanced degree in a quantitative field (PhD a plus)
- 5+ years of relevant industry and/or academic experience in developing scientific frameworks, building machine learning models, and implementing advanced experimentation techniques
- Strong fluency in Python or R for hands-on IC work and advanced data analysis in SQL at scale
- Deep understanding of modern machine learning techniques and their mathematical underpinnings
- Proven ability to create and drive technical and impactful roadmaps for the business and lead seamless execution
What We Offer:
- Competitive salary ($165,000 - $208,500 USD)
- Remote work eligibility (US-based)
- Opportunities for professional growth and development
- Access to cutting-edge technologies and innovative projects
- A dynamic and inclusive work environment
How to Apply:
If you're passionate about using data to drive positive change and are excited about the opportunity to join a talented team of pioneers, submit your application today! Apply Now
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