About Tensec Founded in 2023, Tensec is a global fintech that enables small and medium-sized businesses (SMBs) to enter global trade and thrive by giving them access to global transaction banking solutions that are user-friendly, efficient,
Why Socure? Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex,
About Quvia: Quvia is building the digital fabric between edge and cloud. Our platform uses AI and machine learning to orchestrate connectivity across satellite, terrestrial, and hybrid networks so customers can move and manage data in
Holland America Line has been exploring the world since 1873. Our ships offer innovative features and enriching experiences focused on destination exploration and personalized travel, inviting guests to savor the journey. We’re looking for an experienced
About Nu Nu is the leading digital bank in Latin America, serving 135 million customers across Brazil, Mexico, and Colombia. The company has been leading an industry transformation by leveraging data and proprietary technology to develop
Description We are seeking an Data Modeling & Analytics to join our growing Data & Analytics team. This role sits at the intersection of data engineering, analytics, and AI, transforming raw data into trusted, scalable, and
Analytics Engineer Location: On-Site Miami · Reports to: Director, Data & Analytics · Department: Data & Analytics About eMed eMed is a digital-health company built on its Empathetic AI Population Health Platform. We partner with large
One of the best-known names in cruising, Princess is the world’s leading international premium cruise line and tour company, carrying millions of guests each year to hundreds of destinations around the globe. We give our guests
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side