CLEAR
A Data Scientist at CLEAR designs, develops, and deploys statistical and machine learning models to improve products, risk, fraud, operations, and member experience on the digital identity platform. This hands-on individual contributor role combines strong modeling expertise, advanced Python engineering, and familiarity with modern ML tooling to operationalize models and generate measurable business impact. The role partners cross-functionally to deploy and maintain production models and to advance CLEAR’s AI/ML capabilities and standards.
Headquarters
New York, New York, United States
Company Size
1001-5000 employees
Founded
2010
CLEAR is an identity verification platform that uses biometric and ID-based authentication to secure and accelerate both physical and digital experiences. It helps consumers skip long lines at airports, stadiums, and other venues by verifying identity quickly and reliably. CLEAR partners with travel, sports, and venue operators to make access safer and more convenient for businesses and customers.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for CLEAR.
May 28, 2025