Join to apply for the Senior Data Scientist role at Klarna . What you will do Design, develop, and ship production-grade machine learning models with full ownership, considering everything from memory footprint to latency. Dive deep into statistical analysis, probability, and machine learning/deep learning models. Critically evaluate existing solutions and develop novel approaches where needed. A foundational understanding of NLP architectures like Transformers is a plus. Build and maintain containerized models and develop model monitoring solutions to track metrics like variable drift. Create and manage CI/CD pipelines for machine learning models and contribute to the design and development of APIs. Utilize SQL proficiency to perform in-depth data analysis and feature engineering. Who you are Proven software engineering skills with experience designing, developing, and deploying ML models in production. Experience with deploying models on Scoring Platform is highly desirable. High proficiency in Python. Strong quantitative foundation with deep understanding of statistical analysis, probability, and a wide range of ML and DL models. Hands-on experience with containerization (Docker), CI/CD pipelines, and model monitoring. Experience in API schema design and development, and building containerized applications (e.g., using Docker). Excellent communication and stakeholder management skills. Experience working with consumer or partner Fraud Detection/Credit Underwriting would be a plus. Awesome to have An academic background in Physics, ML, Data Science, Mathematics, or Biology. Prior experience as a Senior Data Scientist, ideally within a regulated environment or fintech context. Please include a CV in English. Curious to learn more about Klarna and what it’s like to work here? Explore our career site! Referrals increase your chances of interviewing at Klarna by 2x #J-18808-Ljbffr