Pipl is an identity solutions company. Our products allow organizations to provide frictionless customer experiences and approve trustworthy transactions with greater confidence and speed. We use multivariate linking to establish deep connections among more than 330 billion trust signals—email, mobile phone and social media data that spans the globe—and then look at the big picture to derive identity trust.
About the Role
As a Data Scientist, you will utilize machine learning, programming and domain knowledge to mark trustworthy transactions in an ever-changing domain. Your job will involve quantitative and qualitative analysis of real fraud. You will work closely with other teams, including Product, MLOps and Analytics, to review business problems and identify data requirements necessary to develop predictive models that can help solve them.
About the Candidate
The ideal candidate has a strong background in statistics, machine learning, research design, data analysis, writing production-level code, as well as excellent communication and organizational skills. English proficiency is a must. This position is for a “hands-on” type of person who enjoys tackling real-world data challenges with a can-do attitude and passion for data.
Responsibilities:
Preferred
None
Pipl is the identity trust company. Our solutions allow organizations to provide frictionless customer experiences and approve more transactions with greater confidence and speed. We use multivariate linking to establish deep connections among more than 330 billion trust signals—email, mobile phone and social media data that spans the globe—and then look at the big picture to derive identity trust. Learn more at pipl.com.
