Join the Pioneers of Trust: Senior Data Scientist, Trust at Airbnb
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
Apply Now
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
Apply Now